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Information Technology Dissertation Topics

Published by Owen Ingram at December 29th, 2022 , Revised On March 23, 2023

Information technology stands out as one of the latest discoveries of the twenty-first century. According to researchers, technology is currently undergoing an era of transformation. Yet, despite all the hype, many students struggle to figure out a topic for their degree in Information Technology.

Nonetheless, we are right here to direct our students and show them a ray of hope. A comprehensive list of advanced dissertation topics in the field of information systems is provided below for students to pick a topic that suits their interests and research.

Related Academic Resource: Business Information Technology Topics , Technology Dissertation Topics , Green Technology Dissertation Topics

List of IT Dissertation Topics Having Potential for Research

• A literature analysis on the information quality management framework
• A comprehensive investigation of the information system hierarchy
• Big data and business intelligence are essential for sustainable development in organisations: Discuss a UK-based perspective
• Correlation between Information systems management and risk management infrastructure to achieve business risk resilience
• Impact of the Coronavirus on the management of X country’s information systems
• The function of structured versus unstructured data in managing information systems
• A review of the literature on business intelligence management and information systems
• Pre- and post-COVID analysis of the impact of information systems on organisational performance
• Implementing IT governance and managing information systems
• A descriptive overview of IS strategic planning and management services
• A review of the literature on international information system security
• Information systems management historical analysis focusing on the last three decades
• The part that planning, alignment, and leadership play in information systems management
• A systematic review of the post-COVID era for information systems management research
• Difficulties and possible challenges in the International Management of Information systems
• A thorough analysis of information policy and global information systems management
• How to handle data management in the era of 5G technologies?
• Human-computer interaction’s effect on innovations
• How does machine learning introduce students to more modern career opportunities?
• Consider the use of molecular information systems in biotechnology
• How has information technology aided in the processing of natural language?
• What are the most recent advancements in software engineering and programming languages?
• An examination of new potential in the robotics industry.
• What factors should I take into account while buying a bandwidth monitor?
• How do we develop an efficient clinic management system for intensive care?
• Reasons why e-waste management solutions should be used worldwide ASAP
• Motives for why cyberbullying persists in modern communication technologies
• Interpersonal communication has changed as a result of the development of information technology
• The effect of 3D printing on medical practice
• How well do colleges and universities produce qualified computer scientists using robots in infectious disease units?
• How ethical hacking has become more harmful
• Why having specialised financial systems is important
• What is the best security precaution: A fingerprint or a serial number?
• How to strengthen patent protection for technical advances?
• An overview of the many software security measures.

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Master of Science in Information Technology Theses

Information Technology (IT) focuses on meeting the needs of users within an organizational and societal context through the selection, creation, application, integration and administration of computing technologies. To succinctly put it - IT uses technology to apply information to meet business needs.

Information Technology is the term used to describe the convergence of computer science, management and information systems. The main distinction between IT and the other computing disciplines (e.g., computer science, software engineering, etc.) is that IT professionals must know how to apply computing technology and to build a business case for that application. It emphasizes the management and performance of information technology planning, development, implementation and operation, and development of the infrastructure to support the processes necessary to achieve organizational objectives.

The Masters of Science in Information Technology degree is designed to enhance career options for a broad mix of students. The program is geared for those students interested in pursuing a career in the management and performance of information systems planning, development, implementation and operation.

This collection was started with the graduates of the Fall 2015 semester, after the consolidation between Kennesaw State University and Southern Polytechnic State University was final (July 2015).

Need to Submit Your Thesis? Submit Here!

Theses/dissertations from 2023 2023.

SCREENSAFEFUTURE: A PARENT-EMPATHETIC AND PRACTICAL MHEALTH APPLICATION FOR TODDLERS' BRAIN DEVELOPMENT ADDRESSING SCREEN-ADDICTION CHALLENGES , Nafisa Anjum

Analysis of the Adherence of mHealth Applications to HIPAA Technical Safeguards , Bilash Saha

Assessing Blockchain’s Potential to Ensure Data Integrity and Security for AI and Machine Learning Applications , Aiasha Siddika

Theses/Dissertations from 2022 2022

A Literature Review On Privacy and Security in Virtual Reality and Augmented Reality , Yunus Gumbo

A Maturity Model of Data Modeling in Self-Service Business Intelligence Software , Anna Kurenkov

Blockchain-based Medical Image Sharing and Critical-result Notification , Jiyoun Randolph

Theses/Dissertations from 2021 2021

Deep Learning for Human MicroRNA Precursor Prediction: A Systematic Literature Review , Martina ojonah

Non-Invasive Monitoring of Human Hygiene using Vibration Sensor and Classifier , Shashank Trivedi, Maria Valero, Hossain Shahriar, and Liang Zhao

Theses/Dissertations from 2020 2020

Distributed Denial of Service Attack Detection , Travis Blue

A Framework to Detect Presentation Attacks , Laeticia Etienne

Using Multiple Data Sources for Customer Satisfaction Analyzing: A Sentimental Approach , Jhanvi Vyas

Theses/Dissertations from 2019 2019

An Architecture for Blockchain-based Collaborative Signature-based Intrusion Detection System , Daniel Laufenberg

Theses/Dissertations from 2018 2018

Why Certified IoT Devices Remain Untrustworthy , Donald Privitera

Theses/Dissertations from 2016 2016

The Paradox of Social Media Security: A Study of IT Students’ Perceptions versus Behavior on Using Facebook , Zahra Y. Alqubaiti

A Framework for Hybrid Intrusion Detection Systems , Robert N. Bronte

Perceived Effectiveness of E-Learning for Technology Instruction in Public Library Staff Development Programs: A Survey Based on the Technology Acceptance Model , Julia Huprich

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School of Engineering and Informatics (for staff and students)

Finding a topic

It is the responsibility of the student to identify a suitable project topic.

This will require reading, investigating research areas in informatics, locating relevant research papers, and talking to people about your interests. You can also look at individual faculty members' project entries in the Master's project database . You can make use of anyone's office hour and also meet with your degree programme convenor. You can also propose your own topic but need to find someone willing to supervise it. Look up the web pages of individual research supervisors , to find out whether your interests match those of a someone who might be willing to supervise you.

You are positively encouraged to see a project with a commercial/industrial flavour. If you can find an industrial sponsor or even host, that would be good, although you will still need an academic supervisor. The University does not have any claim on intellectual property generated from a student's (sole) work, but you should talk with your academic supervisor if you have any queries about this. You should also seek advice before entering into any formal agreement with a company.

If your project makes a contribution to research, you might be able to publish a paper based on it. But in any case, do not be concerned with publishing or commercial exploitation until after your project is finished - your primary aim should be to produce an excellent dissertation.

ITBM students may also like to view the research interests of faculty members in SPRU, and SPRU research topics . However, you should only consider SPRU topics that are relevant to the modules you take on ITBM delivered by SPRU. These are modules focused around Technology, Innovation and Management. There will be a generic SPRU project listed on the Master's project database that points you to relevant SPRU faculty convened to supervise such projects.

Supervision

Finding a supervisor: During April you should find a supervisor. This is a matter of negotiation, since choice of supervisor depends on what topic you have identified. See above, and look at individual faculty members' project entries in the Master's project database. Note that each supervisor is allocated a number of students (load) to supervise. They may supervise more than this number of students - especially if they are interested in a project you propose - but do not have to. You are thus advised to contact several suitable supervisors to discuss possible supervision and potential topics as early as you can. You should also contact them after they have reached their load as they may be happy to supervise a project that interests them. Similarly, if a member of faculty has a load of 0, it means they may nevertheless be willing to supervise a project in a particular area of interest to them. As well as the database, it is also worthwhile visiting supervisors' web pages to find out more about their areas of research.

You should talk to multiple supervisors to keep your options open. Supervisors will generally discuss topics with several students and then choose which to supervise. Once you have selected suitable topics or supervisors, pick the topic through the database, or propose your own project. However, also email supervisors to arrange to meet up to discuss your project (or to ask their advice on what topic to pick).

To provide inspiration on the range of topics available, the database contains projects proposed by past faculty. If you find a topic through the search facility, please check that the supervisor is on the 'supervisor list' . If they are not there, they are no longer supervisors. Feel free to use these projects as inspiration to propose your own project but note that it might be too specific to the old faculty member.

If you are a first year part-time student, you still need to have a supervisor. We give 1st year part-time students supervisors so they can start thinking about their projects but the title is not set in stone, and can be changed at a later date (as can the supervisor if things don't work out), so if you don't have a clear idea of what to do, see who is working in an area of interest to you and discuss things with them.

Supervision time: Your supervisor is expected to devote around half an hour per fortnight to you (including reading drafts, etc). It is up to you to arrange with them how you use this time.

Supervision schedule: You should view supervision as a kind of contract between you and your supervisor. You are advised to draw up an agreement at the start of the process (which can be reviewed/modified as the project progresses) - and it is in your interest to make the agreement as formal as possible. This of course puts pressure on you, too, but on the other hand you will have a better guarantee that you will get what you want. It is dangerous to leave supervision as something informal, arranged on an 'ad hoc' basis.

Supervisor availability during the summer: Don't forget that after the end of July, faculty members are often away on holiday, at conferences, or at home working on their own research. Find out when your supervisor is likely to be away and plan accordingly. In any case, if you want your supervisor to give feedback on any drafts, allow them plenty of time. The suggested dissertation timetable takes account of this.

Note that failure to seek adequate supervision is one of the main reasons for low grades on the dissertation. It is up to you to ensure that you make use of your share of your supervisor's time.

Suitability of the project

It is up to you and your supervisor to check the guidelines for dissertation content and marking criteria (see left-hand links), to ensure your proposed project is suitable for your course of study. If you are in any doubt, check with the convenor of your degree course.

Conducting ethical research

You should read the Research Governance Procedures on conducting ethical research and take steps to obtain approval from the Research Governance Committee where this is required.

The dissertation

Read carefully the practical advice on dissertations , which includes requirements for submission, and word length, as well as recommended format. For guidance on allocating time to your project work and dissertation writing, see the suggested dissertation timetable .

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Overview MSc Research Topics

15-Minute university campus and students’ wellbeing. Improving urban quality of life

Improved quality of life is one of the New Urban Agenda (NUA) underlined sectors to be incorporated "in every urban development or renewal policy and strategy" (UN-Habitat, 2017).

• Read more about 15-Minute university campus and students’ wellbeing. Improving urban quality of life

2D outlining of buildings using airborne point cloud data and deep learning

2D outlines or footprints of buildings are either generated from high resolution images or point cloud data.

• Read more about 2D outlining of buildings using airborne point cloud data and deep learning

3D Model Reconstruction from Indoor Point Clouds via Machine/Deep learning

3D models such as Building information models (BIM) are valuable for industry for various planning purposes.

• Read more about 3D Model Reconstruction from Indoor Point Clouds via Machine/Deep learning

5G and IoT for Unmanned Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) are increasingly used within an Internet of Things (IoT) network where the

• Read more about 5G and IoT for Unmanned Aerial Vehicles

A continental assessment of Natura2000’s effects on biodiversity

Protected areas are useful governance tool to mitigate biodiversity loss and preserve threatened habitats and species.

• Read more about A continental assessment of Natura2000’s effects on biodiversity

A deep learning model for oil spill mapping

Global production, transportation, and consumption of oil can cause inevitable spills into the environment (typically from pipelines, oil wells, and storage facilities) cont

• Read more about A deep learning model for oil spill mapping

Actionable map ethics

These days simple tools exist that allow everyone to make maps, and subsequently use social media to disseminate the maps, with can reach millions.

• Read more about Actionable map ethics

Addressing social and political dimensions of Urban Digital Twins

More and more cities are developing digital twins of their crucial public infrastructures.

• Read more about Addressing social and political dimensions of Urban Digital Twins

Agricultural adaptation to climate, policy, and prices; shifting crop choices in the Netherlands

The frequency and intensity of extreme weather events is changing worldwide due to shifting cli

• Read more about Agricultural adaptation to climate, policy, and prices; shifting crop choices in the Netherlands

Analysing climate plans in Europe: ambition and reality

Climate planning has been arising since the Paris Agreement [1]. However, the last data shows that the proposed goals are far from being reached in time [2;3].

• Read more about Analysing climate plans in Europe: ambition and reality

Annotations for the paper and online ITC atlas

Annotations in an interactive atlas environment will support the user to execute atlas tasks, and help them to better understand what they see in respect to the (carto)graphic representations used,

• Read more about Annotations for the paper and online ITC atlas

Area Frame Sampling (AFS) for improved Agricultural Statistics Collection

For Orisha, India, the Forages-group is building a comprehensive geo-database of imagery and agricultural (land-use) statistics.

• Read more about Area Frame Sampling (AFS) for improved Agricultural Statistics Collection

Area-to-point geographically weighted regression kriging for downscaling MODIS images

For years, MODIS images have been instrumental in divers environmental and ecological studies such as monitoring deforestation, land-us/land-cover (LULC) changes, agriculture and epidemiology.

• Read more about Area-to-point geographically weighted regression kriging for downscaling MODIS images

Artificial Intelligence for tree species identification

Green spaces are fundamental for the well-being of individuals and communities as they provide areas for recreation, which is essential for the quality of life in cities.

• Read more about Artificial Intelligence for tree species identification

Assessing Montane Treeline Movement using Historical Oblique Imagery from Canada

Climate change is expected to affect many natural processes on earth.

• Read more about Assessing Montane Treeline Movement using Historical Oblique Imagery from Canada

Assessing saffron cultivation dynamics and yield variability in Iran with Sentinel-2 time series

Saffron is the most costly spice by weight worldwide, and an important ingredient for Middle-Ea

• Read more about Assessing saffron cultivation dynamics and yield variability in Iran with Sentinel-2 time series

Associating COVID-19 related hospitalizations and SARS-CoV-2 concentration in wastewater in The Netherlands

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a public health emergency of global concern since its outbreak in 2019/2020.

• Read more about Associating COVID-19 related hospitalizations and SARS-CoV-2 concentration in wastewater in The Netherlands

Augmented Urban Planning

The decisions made on the spatial configurations and distributions in the built environments (urban or rural developments) directly affect the environment as well as the interests of various stakeh

• Read more about Augmented Urban Planning

Automated progress monitoring of building construction

• Read more about Automated progress monitoring of building construction

Biophysical Modelling of Surface Temperatures in Different Urban Landscape Characters: A Multi-scale Perspective

Urban land surface temperature (ULST) dynamics are influenced by a myriad of factors related to urban landscape character.

• Read more about Biophysical Modelling of Surface Temperatures in Different Urban Landscape Characters: A Multi-scale Perspective

Blending Regional Climate Model rainfall data and Satellite rainfall estimates for hydrological and water resource applications

Rainfall data series from climate models (i.e.

• Read more about Blending Regional Climate Model rainfall data and Satellite rainfall estimates for hydrological and water resource applications

Blending Regional Climate Model rainfall data and Satellite rainfall estimates for hydrological and water resource applications.

• Read more about Blending Regional Climate Model rainfall data and Satellite rainfall estimates for hydrological and water resource applications.

Building land use coexistence between pastoralists and non-pastoralists

Pastoralists and non-pastoralists in Sub Saharan Africa have been engaging in land use conflicts which are associated with environmental, climatic, political, economic and social

• Read more about Building land use coexistence between pastoralists and non-pastoralists

Calibrating a Covid-19 Agent-Based Model using Machine Learning

• Read more about Calibrating a Covid-19 Agent-Based Model using Machine Learning

Carbon Alert - Carbon Removal Systems

The Intergovernmental Panel on Climate Change (IPCC) estimates the global community must remove up to1000 billion metric tons of carbon dioxide (GtCO2) by 2100 to limit warming to no more than 1.5°

• Read more about Carbon Alert - Carbon Removal Systems

Characterisation of ice subsurface structures using radar sounder data and machine learning methods

The Antarctic ice sheet covers almost the whole area of the Antarctic continent.

• Read more about Characterisation of ice subsurface structures using radar sounder data and machine learning methods

Chennai’s AI Urban Video Surveillance: A Critical Socio-Spatial Investigation

Artificial intelligence (AI) for urban development is growing rapidly.

• Read more about Chennai’s AI Urban Video Surveillance: A Critical Socio-Spatial Investigation

Citizen Science data interoperability

Interest in the formal representation of citizen science comes from portals, platforms, and catalogues of citizen science projects; scientists using citizen science data for their research; and fun

• Read more about Citizen Science data interoperability

Classification of Sentinel-1 images at subpixel level using deep learning

Sentinel-1, with a constellation of radar satellites, operates day and night, providing freely accessible, consistent, and time series SAR images of every part of the Earth.

• Read more about Classification of Sentinel-1 images at subpixel level using deep learning

Co-creating safety measures in Nepal for better and safer housing

Nepal is one of the poorest countries and affected by multi-hazard risks, including earthquakes, landslides and floods.

• Read more about Co-creating safety measures in Nepal for better and safer housing

Community engagement in decision-making for disaster resilience and preparedness

When disasters happen, it's important to include the people who are affected in making decisions and getting ready for emergencies.

• Read more about Community engagement in decision-making for disaster resilience and preparedness

Comparison of Leaf Area Index Prediction Accuracy using thermal Infrared Data from Unmanned Aerial Vehicle and Satellite Images

LAI is one of the most critical vegetation biophysical variables as well as remote sensing- enabled essential biodiversity variables due to the controlling role of green leaves in biological and ph

• Read more about Comparison of Leaf Area Index Prediction Accuracy using thermal Infrared Data from Unmanned Aerial Vehicle and Satellite Images

Computer assisted valuation of land and property

Land or property tax is one of the oldest forms of taxation; it is relatively fair and it is not easy to hide properties.

• Read more about Computer assisted valuation of land and property

Conceptual design of REST-based Geospatial Web APIs

With the advent of the new OGC API family of standards it has finally become possible to design and implement fully REST based dissemination systems.

• Read more about Conceptual design of REST-based Geospatial Web APIs

Coniferous tree species mapping using Sentinel-2 and digital terrain data

Coniferous species are present in almost all major vegetation biomes on Earth.

• Read more about Coniferous tree species mapping using Sentinel-2 and digital terrain data

Conservation drones: evaluation of sensors and methods for animal detection, distribution and population estimation

A key task for conservation science is to collect accurate and precise data on animal distribution.

• Read more about Conservation drones: evaluation of sensors and methods for animal detection, distribution and population estimation

Conservation drones: Using Uncrewed Aircraft Systems (drones) in vegetation mapping and monitoring in rewilding landscapes

One of the aims of conservation and rewilding groups in Europe is to assess whether natural grazing l

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COVID-19, Water, Sanitation and Hygiene (WASH), and Disaster Risk Reduction. Where are the links?

The strong interaction between health and disaster risk reduction has been made explicit by the current pandemic crisis.

• Read more about COVID-19, Water, Sanitation and Hygiene (WASH), and Disaster Risk Reduction. Where are the links?

Critical nodes for food security: detecting food storage facilities using remote sensing images

Postharvest losses are a main threat to food security, which is a measurable waste of the edible share of food that is available for consumption but is not

• Read more about Critical nodes for food security: detecting food storage facilities using remote sensing images

Crop per Drop

Farmers want to use less water to produce more food.

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Cross-Regional Crop Time Series Classification

Satellite image time series (SITS) data are increasingly being used for vegetation-related remote sensing applications.

• Read more about Cross-Regional Crop Time Series Classification

Deep learning algorithms for building opening detection from UAV images

Object detection is a fundamental topic in computer vision. Recently, deep learning has become an effective method and achieved great success in object detection.

• Read more about Deep learning algorithms for building opening detection from UAV images

Deep learning algorithms for single image depth estimation from UAV images

The estimation of depth from a single image have been a Computer Vision topic for decades.

• Read more about Deep learning algorithms for single image depth estimation from UAV images

Deep Learning based fusion of SAR and optical data to synthesize cloud-free and enhanced quality imagery

The presence of noises, clouds and another atmospheric phenomena represent an obstacle for optical remote sensing applications.

• Read more about Deep Learning based fusion of SAR and optical data to synthesize cloud-free and enhanced quality imagery

Deep Learning based image fusion for mapping coffee plantations in Brazil

Brazil is the biggest coffee productors in the world, with millions of hectares of plantations.

• Read more about Deep Learning based image fusion for mapping coffee plantations in Brazil

Deep Learning based multisource data fusion for biomass estimation

Estimating aboveground biomass is essential for generating vegetation inventories and understanding carbon cycles.

• Read more about Deep Learning based multisource data fusion for biomass estimation

Deep Learning based multisource data fusion for biomass estimation (Supervision in collaboration with INPE/Brazil)

• Read more about Deep Learning based multisource data fusion for biomass estimation (Supervision in collaboration with INPE/Brazil)

Deep Learning based multisource data fusion for detecting deforestation

An accurate method for automatically mapping deforested areas constitute an important tool to inform and enable deforestation containment policies.

• Read more about Deep Learning based multisource data fusion for detecting deforestation

Deep Learning based multisource data fusion for detecting deforestation (Supervision in collaboration with INPE/Brazil)

• Read more about Deep Learning based multisource data fusion for detecting deforestation (Supervision in collaboration with INPE/Brazil)

Deep learning based retrieval of biomass and forest height using SAR images.

Aboveground forest biomass has fundamental role in carbon cycling, climate processes, and global warming.

• Read more about Deep learning based retrieval of biomass and forest height using SAR images.

Deep learning for assessing spatial-temporal variability of urban climate

The climate in cities and metropolitan areas (i.e., urban climate) is often different from the climate in the surrounding rural areas due to the presence of buildings, pavement, a

• Read more about Deep learning for assessing spatial-temporal variability of urban climate

Deep learning for information extraction from earthquakes seismological data

Deep learning is

• Read more about Deep learning for information extraction from earthquakes seismological data

Deep learning for integration of Satellite images and google StreetView for mapping informal settlements (slums)

Mapping and monitoring slums is essential to ensure the sustainable development of the cities to ensure a quality of life for people.

• Read more about Deep learning for integration of Satellite images and google StreetView for mapping informal settlements (slums)

Deep learning for the classification of water and bridges in Airborne Laser Scanner data

In general classes such as Buildings and Vegetation and Terrain are well classified. The classes Bridges and Water are more problematic, even for deep learning algorithms.

• Read more about Deep learning for the classification of water and bridges in Airborne Laser Scanner data

Deep Learning for Urban Air Pollution Modeling

To model air pollution in urban environments while accounting for urban forms using convolutional neural networks (CNN) or Vision Transformers (ViT), open access earth observation

• Read more about Deep Learning for Urban Air Pollution Modeling

Deep learning techniques to optimise and improve 3D scene graphs

The problem of 3D spatial perception involves the real-time construction and maintenance of a comprehensive and actionable representation of the environment using sensor data and prior knowledge.

• Read more about Deep learning techniques to optimise and improve 3D scene graphs

Deep learning-based generation of digital surface model (DSM) using a single high-resolution SAR image

Downward-looking satellite sensors are used to display our three-dimensional (3D) world with 2D remote sensing imagery.

• Read more about Deep learning-based generation of digital surface model (DSM) using a single high-resolution SAR image

Deep Neural Networks for (Multi-Scale) Geographical Modeling

Deep Neural Networks (DNN) is considered as a panacea for different problems in several application areas. But what about spatial modeling?

• Read more about Deep Neural Networks for (Multi-Scale) Geographical Modeling

Deep/Machine learning for MLS point cloud cleaning in street mapping and asset management

Mobile laser scanning provides point clouds data for asset management and mapping purposes. This data contains unwanted points such as walking and bicycling people and moving cars.

• Read more about Deep/Machine learning for MLS point cloud cleaning in street mapping and asset management

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Dense Image Matching with Transformer

The student will initially revise the existing literature on image matching algorithms using CNN as backbone.

• Read more about Dense Image Matching with Transformer

Dependence of soil emissions of nitrogen oxides (NOx) on soil moisture

High amounts of particles or harmful gases in the air damage the health of humans and ecosystems.

• Read more about Dependence of soil emissions of nitrogen oxides (NOx) on soil moisture

DESIS hyperspectral satellite data for mapping bark beetle infestation

The goal of this study is to detect and map bark beetle infestation in a temperate forest in Germany using DESIS hyperspectral satellite

• Read more about DESIS hyperspectral satellite data for mapping bark beetle infestation

DESIS hyperspectral satellite data for mapping foliar pigments in a temperate forest

The goal of this study, as part of the larger BIOSPACE project, is to map and model foliar pigments, including chlorophyll and caroten

• Read more about DESIS hyperspectral satellite data for mapping foliar pigments in a temperate forest

Detecting canopy water fluctuations with low-cost GNSS receivers

Forest health worldwide is under pressure as a result of prolonged droughts.

• Read more about Detecting canopy water fluctuations with low-cost GNSS receivers

Detecting droughts and floods in the Greater Horn of Africa with satellite gravity and precipitation and or soil moisture

In recent years, the Greater Horn of Africa has suffered from prolonged droughts, associated with forced migration and food and water security issues.

• Read more about Detecting droughts and floods in the Greater Horn of Africa with satellite gravity and precipitation and or soil moisture

Detection and classification of objects with machine/deep learning for asset management in buildings

Asset management is important for commercial and public buildings.

• Read more about Detection and classification of objects with machine/deep learning for asset management in buildings

Detection of gradual changes in seasonal phenomena using time series analysis

The challenge of this topic is to detect a change or trend on top of seasonal fluctuations.

• Read more about Detection of gradual changes in seasonal phenomena using time series analysis

Developing a system for finding alternative ways of visualizing data

Data (of any kind) relating to geographic entities such as municipalities, provinces or countries (which may be available for different moments in time), can be represented through maps, but also t

• Read more about Developing a system for finding alternative ways of visualizing data

Developing and implementing a workflow for a new global dataset for high resolution travel time

ITC research staff from the GIP, PGM and NRS departments, in collaboration with CRIB have developed global maps that estimate

• Read more about Developing and implementing a workflow for a new global dataset for high resolution travel time

Development of a spatially explicit active learning method for crop areas mapping from satellite image time series

With the increasing availability of remotely sensed data, there is a pressing need to develop efficient and scalable methods for converting satellite images into useful information.

• Read more about Development of a spatially explicit active learning method for crop areas mapping from satellite image time series

Development of unsupervised or weakly supervised Deep Learning methods for cloud detection

Clouds usually represent a big problem for optical remote sensing. A wide range of works have been developed in producing efficient cloud detection algorithms.

• Read more about Development of unsupervised or weakly supervised Deep Learning methods for cloud detection

Clouds usually represent a big problem for optical remote sensing.

Digital Twins for city modeling and simulation

The digital twin (DT) (smart city/3D modelling) topic currently attracts the attention and interest of many cities, authorities, industrial and research organizations at national, European and inte

• Read more about Digital Twins for city modeling and simulation

Disaster epidemiology: dynamically changing health risks associated with hazardous events. Short-term vs long-term and what this means for health and well-being.

Concept: Kerala is highly prone to variety of natural hazards, such as cyclones, flood, landslides, drought and heatwaves.

• Read more about Disaster epidemiology: dynamically changing health risks associated with hazardous events. Short-term vs long-term and what this means for health and well-being.

Disaster Risk Reduction in Complex City Systems (with a possibility of 2D or 3D analysis)

U rban systems consist of multiple interrelated components that include both physical and social stru

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Drought analysis for agricultural applications

Drought has wreaked havoc to human societies throughout history. Drought is usually caused by a multitude of factors starting from the deficit of precipitation when compared to climatic mean.

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Dynamic Area Frames for improved Crop Production Estimation

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Dynamically optimized task-offloading in a UAV cloud-IoT environment

Unmanned Aerial Vehicles (UAVs) are increasingly used within a Mobile Edge Computation (MEC) network where the UAV is made intelligent by

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Earth Observation and the Urban – when, how and why did cities become linked to outer space?

Earth Observation data is increasingly important for how cities function and are accessible to inhabitants.

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Efficient sampling design for deep Learning based mapping land use and land cover

Understanding the types of vegetation that composes the land cover on non-anthropic areas and the land use for anthropic areas is essential to understand ecosystems dynamics and the impacts of huma

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Efficient sampling design for deep Learning based mapping of land use and land cover

Understanding the types of vegetation that composes the land cover on non-anthropic areas and the land use for anthropic areas is essential to understand e

• Read more about Efficient sampling design for deep Learning based mapping of land use and land cover

Enabling circular economy in cities (geo-information sciences nexus sustainability governance)

The circular economy action plan issued by EU in 2020 is a key feature towards Sustainable Development, promoting all type of strategies for regional

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Enabling vulnerable communities to build back safer

Unsafe houses and natural hazards are increasingly common threats for citizens of low-income countries.

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EO-Based Machine Learning for Essential Water Variables

The past decades have seen rapid advancements in space-based monitoring of essential water cycle variables, providing products related to precipitation, evapotranspiration, and so

• Read more about EO-Based Machine Learning for Essential Water Variables

Estimating Evapotranspiration in ASALs with ENMAP, PRISMA, and Sentinel-2 hyperspectral narrowbands

ET is the water lost to the atmosphere through plant stomata during photosynthesis and from the surface following a wetting event.

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Evaluation of forest resistance to drought using time series of hyperspectral and LiDAR data

Mediterranean and temperate forests are being affected by intense and frequent droughts that will become mo

• Read more about Evaluation of forest resistance to drought using time series of hyperspectral and LiDAR data

Evaluation of MODIS and Proba-V NDVI time series for mapping understory vegetation

Understory vegetation is an important component in forest ecosystems not only because of its

• Read more about Evaluation of MODIS and Proba-V NDVI time series for mapping understory vegetation

Evaluation of Open-source Green Infrastructure-based Planning Support Tools in the Global North and South: A Systematic Review

Urban environmental planning and management, both in theory and practice, have indicated the need for participatory inclusivity as much as possible.

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Evaluation of the effectiveness of Biodiversity Offsetting scheme in North-Brabant

Biodiversity loss is one of the main challenges that our society faces today and the current loss of biodiversity caused by human actions is re

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Exploring the Link Between Vegetation Land Cover Classes and Airborne Thermal Hyperspectral Data in Mixed Temperate Forest

Thermal remote sensing is a type of passive remote sensing since that detects naturally emitted radiation. Most thermal remote sensing for vegetation conducted in the 8-14 μm wavelengths.

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Extraction of Sketched data from Printed Orthophoto Maps using image difference operators and structural image registration

The use of printed satellite and aerial images for spatial data collection has been prevalent in many participatory geography approaches.

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Federated deep learning for UAV Mobile Edge Computing environments

Unmanned Aerial Vehicles (UAVs) are increasingly used by public and private organizations such as the Politie, Brandweer or Rijkswatersta

• Read more about Federated deep learning for UAV Mobile Edge Computing environments

Few-shot learning for resilience in slums

UN-Habitat estimates that over one billion people around the world live in slums, which are often located in hazard-prone areas.

• Read more about Few-shot learning for resilience in slums

Finding, monitoring and creating acceptance for geothermal resources for the energy transition

Geothermal systems are one of the sustainable sources of our future energy mix.

• Read more about Finding, monitoring and creating acceptance for geothermal resources for the energy transition

Fine-scale mapping of urban construction’s heat pattern

The phenomenon of urban heat islands generally refers to the heating of urban areas compared to their undeveloped surroundings.

• Read more about Fine-scale mapping of urban construction’s heat pattern

FoodGravity: understand food flows using classic Gravity model and explainable Artificial Intelligence techniques

In the past few years, unexpected disruptions such as the Ukraine war and the global pandemic reveal the fact that our food systems are highly connected an

• Read more about FoodGravity: understand food flows using classic Gravity model and explainable Artificial Intelligence techniques

Forest health monitoring using radar and field experiments

Forest health worldwide is increasingly deteriorated by droughts.

• Read more about Forest health monitoring using radar and field experiments

Forest height estimation using radar remote sensing images

With down-looking satellite sensors, our three-dimensional (3D) world is commonly represented with 2D remote sensing images.

• Read more about Forest height estimation using radar remote sensing images

Forest responses to disturbances along Samaria-Lefka Ori National Park (Crete) using a multisensor approach

Frequent persistent drought events in Mediterranean ecosystems and insect attack have generated an extreme

• Read more about Forest responses to disturbances along Samaria-Lefka Ori National Park (Crete) using a multisensor approach

From global satellite water cycle products to field scale water states

Water resource management needs to consider a wide range of spatial scales and address a variety of problems, e.g.

• Read more about From global satellite water cycle products to field scale water states

Gaze-directed Flow Map Explosions in AR/VR

Origin-Destination (OD) flow maps are a popular topic in contemporary cartographic and GIS research because they may show interesting spatio-temporal patterns, but are difficult to render legibly.

• Read more about Gaze-directed Flow Map Explosions in AR/VR

Generalization of image classification models using fair optimization techniques

Deep learning algorithms can achieve great accuracies, but there are also concerns about biases and generalizability to unseen data.

• Read more about Generalization of image classification models using fair optimization techniques

Generative AI-enhanced UAV flight simulation to accelerate UAV deep learning research

Unmanned Aerial Vehicles (UAVs) are powerful flexible monitoring devices, and their data is increasingly us

• Read more about Generative AI-enhanced UAV flight simulation to accelerate UAV deep learning research

Generative Design for Smart Regulations

The so-called Right to Light in Great Britain, the European standard EN 17037 “Daylight in Buildings”, and similar design codes or standards of good practice provide recommendations for ensuring th

• Read more about Generative Design for Smart Regulations

Geo information for sustainability certification

Sustainable production of food and other biomass-derived products needs checking if, indeed, no harm is done to biodiversity, our environment in general, or to people.

• Read more about Geo information for sustainability certification

Geo-health: understanding the relationship between people, location, time and health

Improving health and health care services are government priorities worldwide.

• Read more about Geo-health: understanding the relationship between people, location, time and health

Geohealth: Heatrisk in data poor regions

Climate data will be used to assess heat risks.

• Read more about Geohealth: Heatrisk in data poor regions

Geohealth: Pollution risk and health

This study aims to develop methods that can be used to delineate pollution events.

• Read more about Geohealth: Pollution risk and health

Graph-Based Analysis of Indirect Impacts of Natural Hazards on Transportation Systems

Catastrophic natural disasters present formidable challenges to build resilient communities.

• Read more about Graph-Based Analysis of Indirect Impacts of Natural Hazards on Transportation Systems

Green roof detection using remote sensing and machine learning (Study case: Rotterdam)

Access to safe drinking water, sanitation and hygiene (WASH) services and associated health benefits are widely enjoyed in high-income countries , where centuries of investment in infrastruct

• Read more about Green roof detection using remote sensing and machine learning (Study case: Rotterdam)

Helping secure access to (critical) raw material resources in the context of the Energy Transition

Raw materials are economically and strategically important for society, and an explosion in demand is predicted for many raw materials be

• Read more about Helping secure access to (critical) raw material resources in the context of the Energy Transition

Heterogeneous sensor data fusion for urban digital twin modeling

Normally, building digital twins are based on data collected beforehand from one sensor mounted on an aerial or ground platform.

• Read more about Heterogeneous sensor data fusion for urban digital twin modeling

Hierarchical Bayesian space-time small area mapping of COVID-19 risk: The case of Netherlands

The current trend of COVID-19 epidemic threatens to decimate populations even in advance countries.

• Read more about Hierarchical Bayesian space-time small area mapping of COVID-19 risk: The case of Netherlands

How do we train deep learning models in scarce-label environments?

Deep learning algorithms have gained increasing popularity in remote sensing due to their accuracy.

• Read more about How do we train deep learning models in scarce-label environments?

Human intelligence, ChatGPT and geoscience footprints

Individuals and the organisations in which they work need to cooperate in projects and research to withstand an increasing competition.

• Read more about Human intelligence, ChatGPT and geoscience footprints

Hyperspectral Remote Sensing of Forest

Understanding of the effect of climate change on ecosystems is of great importance.

• Read more about Hyperspectral Remote Sensing of Forest

ICTs to support design of public spaces that facilitate social interaction, diversity and inclusion in urban areas

This thesis topic wants to explore how the design of public spaces can facilitate social interaction, and how ICTs can be used to i

• Read more about ICTs to support design of public spaces that facilitate social interaction, diversity and inclusion in urban areas

Impact of ecosystem services on subjective wellbeing. Improving urban quality of life

Improved quality of life is one of the New Urban Agenda (NUA) underlined sectors to be incorporated "in every urban development or renewal policy and

• Read more about Impact of ecosystem services on subjective wellbeing. Improving urban quality of life

Implications of land acquisition interventions on achieving food security in the long term

Increased food security has a special attention for many land administration interventions.

• Read more about Implications of land acquisition interventions on achieving food security in the long term

Inclusive mapping towards the accessible city

The urban space is a place of intersecting struggles and opportunities.

• Read more about Inclusive mapping towards the accessible city

Indoor scene segmentation and depth estimation using deep learning

Indoor scene understanding is important for tasks like indoor navigation and semantic mapping.

• Read more about Indoor scene segmentation and depth estimation using deep learning

Integrating Earth Observation (EO) with Large Language Models (LLMs): Towards A Multimodal EO-Language Model

In the realm of artificial intelligence (AI), the advancement of large language models (LLM) like GPT-4, the base model of ChatGPT, has revolutionized natural language processing.

• Read more about Integrating Earth Observation (EO) with Large Language Models (LLMs): Towards A Multimodal EO-Language Model

Integration of IoT for Digital twinning

• Read more about Integration of IoT for Digital twinning

Integration of remote sensing and social media data for generating training samples and mapping the impervious surfaces

Impervious surfaces are the Earth’s surfaces covered with mainly anthropogenic and artificial structures, such as built-up areas, roads and streets, and parking lots.

• Read more about Integration of remote sensing and social media data for generating training samples and mapping the impervious surfaces

Interactive planning and decision support to engage stakeholders in addressing societal challenges

Interactive Planning Support Systems (IPSS) implemented on a maptable are a promising way to involve professional stakeholders as well as citizens in participatory planning processes.

• Read more about Interactive planning and decision support to engage stakeholders in addressing societal challenges

Interoperable workflows for Geographic Information Systems

A workflow is considered to be a combination of data and (software) operations.

• Read more about Interoperable workflows for Geographic Information Systems

Interrogating drivers of climate-related migration in Africa

Climate change and migration are understood to have a complex relationship.

• Read more about Interrogating drivers of climate-related migration in Africa

Investigating subsidence and environmental change adaption in urban slums using SAR satellite data

Urban slum is often vulnerable to environmental changes such as subsidence, as it has densely populated inf

• Read more about Investigating subsidence and environmental change adaption in urban slums using SAR satellite data

Land use and land cover classification using co-polarimetric PAZ SAR images

Spanish PAZ, which was launched in February 2018, offers co-polarimetric (with HH and VV channel) SAR images with X-band and (down to) 11 days repeat cycle.

• Read more about Land use and land cover classification using co-polarimetric PAZ SAR images

Land use management informed crops nutritional quality mapping

Sufficient nutrition remains a major challenge for rural households in the Sub-saharan region of Africa.

• Read more about Land use management informed crops nutritional quality mapping

Linked Complementary Globes

This project will have the student build multi-globe visualizations in one or more mediums: on desktop computer screens, in virtual reality or augmented reality.

• Read more about Linked Complementary Globes

Linking crowd-sourced and remotely-sensed data to enhance pastoral resilience in northern Kenya

The arid and semi-arid Lands (ASALs) of northern Kenya are characterized by extremes of poverty and c

• Read more about Linking crowd-sourced and remotely-sensed data to enhance pastoral resilience in northern Kenya

Linking soundscape to remotely sensed biodiversity indicators: which acoustic index describes best landscape configuration and ecosystem health?

Soundscape ecology is a developing research field where interactions between sounds and the environment are studied.

• Read more about Linking soundscape to remotely sensed biodiversity indicators: which acoustic index describes best landscape configuration and ecosystem health?

Location uncertainty in user-generated geographic content

As a result of hardware miniaturization and ubiquitous internet access, there is a wealth of user- and sensor-generated geographic content available, from social media activity to private weather s

• Read more about Location uncertainty in user-generated geographic content

Machine Learning Approaches to Improve Resolution of Sentinel-1 Data.

Being freely available, weather- and sunlight-independent, Copernicus Sentinel-1 data are increasingly being used for a variety of remote sensing applications.

• Read more about Machine Learning Approaches to Improve Resolution of Sentinel-1 Data.

Machine learning based crop/farm type classification using polarimetric SAR images

Information on the spatial distribution of crops is of great importance for the sustainable management and development of agricultural practices and thus for national and global economic developmen

• Read more about Machine learning based crop/farm type classification using polarimetric SAR images

Machine learning for disaster risk management - how can we ensure everyone is included and protect societal/human values?

Humanitarian organizations such as the Red Cross Red Crecent and Unicef use risk models to identify vulnerable populations and mitigate the affects of natural disasters.

• Read more about Machine learning for disaster risk management - how can we ensure everyone is included and protect societal/human values?

Machine Learning for Utility detection based on Photogrammetric and Lidar-based data

Utilities form the essential infrastructure of a contemporary society, fulfilling fundamental requirements for both residents and industries.

• Read more about Machine Learning for Utility detection based on Photogrammetric and Lidar-based data

Mangroves, shrimp farms and coastal erosion

The Mekong Delta in Vietnam experiences serious problems due to coastal erosion.

• Read more about Mangroves, shrimp farms and coastal erosion

Mapping Canopy Chemical trait and Land Surface Temperature over Samaria National Park using Thermal Satellite and Unmanned Aerial Vehicle Data

Recently, mortality and reduction in forest stand densities for Brutia pine ( Pinus brutia ) h

• Read more about Mapping Canopy Chemical trait and Land Surface Temperature over Samaria National Park using Thermal Satellite and Unmanned Aerial Vehicle Data

Mapping change probabilities for local improvement of change detection in the Brazilian Cerrado

The Brazilian cerrado biome is under pressure, as an increasing part of it is converted to agriculture.

• Read more about Mapping change probabilities for local improvement of change detection in the Brazilian Cerrado

Mapping Dutch agriculture using multi-source images and deep learning

Crop mapping plays an important role in agronomic planning and management both for farmers and policymakers. Satellite remote sensing sensors have become efficient tools for mapping croplands.

• Read more about Mapping Dutch agriculture using multi-source images and deep learning

Mapping Solar Induded Chlorophyll Fluorescence with TROPOMI

The rate of carbon uptake by vegetation is not fully known.

• Read more about Mapping Solar Induded Chlorophyll Fluorescence with TROPOMI

Modeling spatial and temporal dynamics in yield with crop modeling and remote sensing

Food insecurity is a big issue in eastern and southern Africa and projections are that this is going to get worse with climate change and variability.

• Read more about Modeling spatial and temporal dynamics in yield with crop modeling and remote sensing

Modelling accessibility/access to food

Good access to resources and opportunities is essential for sustainable development. Improving

• Read more about Modelling accessibility/access to food

Modelling the distribution of the extremely rare Buxbaumia viridis moss species in the Rhodopi’s, Bulgaria based on remote sensing proxies

The moss species of Buxbaumia viridis is a rare moss species that lives mainly on dead wood that is in a hi

• Read more about Modelling the distribution of the extremely rare Buxbaumia viridis moss species in the Rhodopi’s, Bulgaria based on remote sensing proxies

Modelling urban socio-economic inequalities - living conditions - deprivation (slums) using machine learning and earth observation (topic has several sub-topics)

LINK TO RESEARCH PROJECTS

The MSc topics link to two ongoing larger research projects that allow being part of international research teams - both projects just started:

• Read more about Modelling urban socio-economic inequalities - living conditions - deprivation (slums) using machine learning and earth observation (topic has several sub-topics)

Models of seasonal bird occurrence from citizen science big data

Mapping the presence or abundance of an animal or plant species is a non-trivial challenge.  It often involves elaborate field surveys with strict data collection protocols and usually deep underst

• Read more about Models of seasonal bird occurrence from citizen science big data

Monitor forest dynamics using satellite image time series

Monitoring forest dynamics is essential for identifying the area most at risk for forest degradation and de

• Read more about Monitor forest dynamics using satellite image time series

Monitoring spatial heterogeneity of restored nature at high resolution with Planet data

This topic is part of the ITC Space4Restoration project, which aims to develop remote sensing tools t

• Read more about Monitoring spatial heterogeneity of restored nature at high resolution with Planet data

Monitoring wildlife with innovative detection methods like AUV’s or Camera Traps

The topic can take several directions depending on the interest of the student.

• Read more about Monitoring wildlife with innovative detection methods like AUV’s or Camera Traps

MSc thesis research with the VU Amsterdam, Institute for Environmental Studies (IVM)

A wide range of topics are available (See below).

• Read more about MSc thesis research with the VU Amsterdam, Institute for Environmental Studies (IVM)

Multi temporal Land use classification using synthetic aperture radar images

Land use classification of urban area is one of the most important applications of remote sensing images. Urban management is generally in demand to account the dynamics of land uses.

• Read more about Multi temporal Land use classification using synthetic aperture radar images

Multi-hazard interactions under climate change

Natural hazards such as debris flows, landslides or flooding often occur due to extreme hydrometeorological events.

• Read more about Multi-hazard interactions under climate change

Multi-UAV real-time collaborative aerial mapping and 3D reconstruction

UAVs are increasingly used to create 2D and 3D maps to support monitoring and emergency scenarios.

• Read more about Multi-UAV real-time collaborative aerial mapping and 3D reconstruction

Multivariate time series modelling via deep learning for Land Surface Phenology

To develop a deep learning model to estimate the timing of phenological events over large area

• Read more about Multivariate time series modelling via deep learning for Land Surface Phenology

Natural Resources Based Social Tenure Boundaries and Risk Management

Land administration in a modern and formal system is well defined with clear physical boundaries and legal aspects of a spatial unit, recorded in a proper database.

• Read more about Natural Resources Based Social Tenure Boundaries and Risk Management

Nature-Based Solutions (NBS) as Policy and Spatial Planning Measures to Mitigate the Impacts of Climate Change with a Special Focus on Blue and Green Infrastructure

“Nature-based solutions” (NBS) or “building with nature” have received global attention as a multidimensional approach to reduce impacts of climate change and associated meteorological disaster ris

• Read more about Nature-Based Solutions (NBS) as Policy and Spatial Planning Measures to Mitigate the Impacts of Climate Change with a Special Focus on Blue and Green Infrastructure

NeRF and AI for 3D modeling

Neural Radiance Field (NeRF) stands as a category of neural networks adept at represent and render realistic 3D scenes environments using a set of 2D images.

• Read more about NeRF and AI for 3D modeling

Non-Market Drivers of Well-Being in Sustainable Urban Development

The pursuit of economic growth, traditionally measured by Gross Domestic Product (GDP), is increasingly being problematised for its effectiveness in enhancing societal well-being

• Read more about Non-Market Drivers of Well-Being in Sustainable Urban Development

Observing Cities – A systematic review of technologies for observing cities

Behind the many different data sources available to innovate geospatial technologies are large data infrastructures needed to produce and process geospatial data.

• Read more about Observing Cities – A systematic review of technologies for observing cities

Oil palm expansion along rivers

Palm oil is an important vegetable oil.

• Read more about Oil palm expansion along rivers

Open from sky - reproducibility of machine learning workflows

The impact of urban growth varies depending on whether it occurs within or beyond city boundaries.

• Read more about Open from sky - reproducibility of machine learning workflows

Optimal database operations over very large yet simple features

Optimal performance of computations is one important promise that databases make to their user community.

• Read more about Optimal database operations over very large yet simple features

PARATUS project - Horizon Europe

Promoting disaster preparedness and resilience by co-developing stakeholder support tools for managing the systemic risk of compounding disasters.

• Read more about PARATUS project - Horizon Europe

Passive inspection of human health

So far, more than 6.5 million people have died from COVID-19, and still, there are around 1000 deaths per day.

• Read more about Passive inspection of human health

Planetary mapping

Hyperspectral images are, amongst others, used for mineral mapping of drill cores, mapping hydrothermal alteration zones, and searching for mineralog

• Read more about Planetary mapping

Planning for liveable climate-proof green city

Urban green spaces can provide a lot of benefits to residents, including fresh and cool air, protection from flooding or space to meet others or do s

• Read more about Planning for liveable climate-proof green city

Plastic-free groceries: promoting consumers’ sustainable grocery shopping through spatial mapping and behavioral analysis

Food packaging is responsible for 5.4% of global food systems emissions in 2015 (Crippa et al.,

• Read more about Plastic-free groceries: promoting consumers’ sustainable grocery shopping through spatial mapping and behavioral analysis

Predict diet diversity from space: socio-ecologically informed use of satellite imagery with machine learning

As an essential part of food security, diet diversity often requires frequent household food security surveys to monitor.

• Read more about Predict diet diversity from space: socio-ecologically informed use of satellite imagery with machine learning

Predicting Crop Yield with Hyperspectral versus Multispectral Broadband Image Data

Farmers, agronomists, private enterprise and policy-makers need to know field conditions with sufficient early-warning.

• Read more about Predicting Crop Yield with Hyperspectral versus Multispectral Broadband Image Data

Predicting hyper-local temperatures using crowdsourced data and machine learning

In cities, temperatures are often higher than in the surrounding areas and can also vary locally.

• Read more about Predicting hyper-local temperatures using crowdsourced data and machine learning

Predicting Pollen mast years using Agent-Based Modelling

The volume of pollen produced by trees differs from year to year. Especially beach and oak trees have mast years.

• Read more about Predicting Pollen mast years using Agent-Based Modelling

Preserving multiple semantic perspectives in user-generated geographic content

• Read more about Preserving multiple semantic perspectives in user-generated geographic content

PRISMA hyperspectral satellite data for mapping boreal forest nitrogen content

The goal of this study, as part of the larger BIOSPACE project, is to map and model leaf and canopy nitrogen content and their spatial va

• Read more about PRISMA hyperspectral satellite data for mapping boreal forest nitrogen content

PRISMA hyperspectral satellite images for mapping Specific Leaf Area (SLA) in a boreal forest

The goal of this study, as part of the larger BIOSPACE project, is to map and model Specific Leaf Area (SLA) and its spatial variation in

• Read more about PRISMA hyperspectral satellite images for mapping Specific Leaf Area (SLA) in a boreal forest

Privacy-preservation and calibration of smart sensors

New and affordable sensors (e.g., Arduino Nano 33 BLE Sense, Sensebox) have greatly increased the potential to collect finer-grained environmental information, especially on topics impacting on hum

• Read more about Privacy-preservation and calibration of smart sensors

Quantifying Ecohydrological Processes in Arid and Semi-Arid Ecosystems

The concept of nature conservation as well as ecosystem sustainability has received substantial attention of the human society, such is even more so recently given the dire IPCC warning about the a

• Read more about Quantifying Ecohydrological Processes in Arid and Semi-Arid Ecosystems

Re-organizing land information: from analogue to digital systems

Many land administration and spatial planning organizations are undergoing processes of digitalization of their spatial data holdings, communication networks, and work flows.

• Read more about Re-organizing land information: from analogue to digital systems

Real time optimization of hybrid UAV’s flight path for road infrastructure monitoring

Unmanned Aerial Vehicles (UAVs) provide excellent opportunities for more efficient and detailed infrastructure monitoring.

• Read more about Real time optimization of hybrid UAV’s flight path for road infrastructure monitoring

Real-time 3D hierarchical semantic mapping in outdoor scenarios

This project aims to explore using monocular cameras in the real-time construction of 3D scene graphs in outdoor applications.

• Read more about Real-time 3D hierarchical semantic mapping in outdoor scenarios

Reasoning VQA by Giving Reasons to Support the Predictions

In this project, we plan to address the problem of reasoning the visual question answering process when predicting the answers to the given image/question pairs.

• Read more about Reasoning VQA by Giving Reasons to Support the Predictions

Reducing the risk of heatwaves in cities: the invisible and silent disaster of the 21st century

The impacts of extreme heat are deadly, on the rise globally, and preventable.

• Read more about Reducing the risk of heatwaves in cities: the invisible and silent disaster of the 21st century

Regional crop yield assessment with Sentinel-2 and MODIS for the Netherlands

Regional prediction and forecasting of crop yield is important for analyzing food security and

• Read more about Regional crop yield assessment with Sentinel-2 and MODIS for the Netherlands

Regularizing neural semantic fields for 3D semantic understanding of scenes with sparse input views

In the past couple of years, Neural Radiance Fields (NeRF) [1] and methods derived from it have become a popular choice for solving different tasks s

• Read more about Regularizing neural semantic fields for 3D semantic understanding of scenes with sparse input views

Remote sensing to support nature policies in practice

Amazingly, the Dutch nature conservation monitoring system makes very little use of remote sensing.

• Read more about Remote sensing to support nature policies in practice

Remote stakeholder collaboration in urban planning

Urban planning issues and processes prescribe a collaboration of various stakeholders, which is nowadays often supported by planning support tools.

• Read more about Remote stakeholder collaboration in urban planning

Representing climate change in spatial land system models: an ensemble of climate and land system change models

About 75% of the Earth’s land surface has been altered and land use change has affected more th

• Read more about Representing climate change in spatial land system models: an ensemble of climate and land system change models

Rising or falling Heath? Exploring capabilities of low-cost GNSS interferometric reflectometry on the Aamsveen Peatland

Global Navigation Satellitye Systems (GNSS)  receivers are commonly used as a positioning tool, but these are negatively degraded by  reflected signals from nearby objects from bu

• Read more about Rising or falling Heath? Exploring capabilities of low-cost GNSS interferometric reflectometry on the Aamsveen Peatland

Risk Mapping of Visceral Leishmaniasis Infections in West Pokot, Kenya: Characterisation of Local Environmental Risk Factors

Visceral leishmaniasis (VL), also known as kala-azar, is a deadly parasitic

• Read more about Risk Mapping of Visceral Leishmaniasis Infections in West Pokot, Kenya: Characterisation of Local Environmental Risk Factors

Road monitoring using UAV-based images

Unmanned Aerial Vehicles (UAVs) have found significant applications in road monitoring, offering a versatile and efficient solution for infrastructur

• Read more about Road monitoring using UAV-based images

Role of tree evaporation on groundwater recharge

In many countries, shortage of drinking water is a problem.

• Read more about Role of tree evaporation on groundwater recharge

Satellite based flood mapping

Synthetic-aperture radar (SAR) data from Sentinel-1 satellites provides unprecedented opportunity to evaluate inter-annual flood characteristics, although consen

• Read more about Satellite based flood mapping

Satellite rainfall for crop growth modelling

This study aims to assess the applicability of satellite rainfall estimates (SRE) in crop growth modelling by means of the Aquacrop model.

• Read more about Satellite rainfall for crop growth modelling

Scattering characterization and temporal change detection using co-polarimetric SAR imagery

• Read more about Scattering characterization and temporal change detection using co-polarimetric SAR imagery

Semantic segmentation of wide-angle lens images in urban/indoor environments

Data acquired from indoor environments contains a lot of valuable information about the assets and facilities.

• Read more about Semantic segmentation of wide-angle lens images in urban/indoor environments

Sensing our environment for assessing health risks

Our environment affects our health.

• Read more about Sensing our environment for assessing health risks

Sentinel-1 time series data for crop identifications/discriminations

To inform policymakers about the agricultural landscapes and food production, accurate and timely monitoring of crop type is required.

• Read more about Sentinel-1 time series data for crop identifications/discriminations

Sentinel-2 data for estimation of forest net primary productivity

Primary production is the growth or accumulated rate of biomass in plants.

• Read more about Sentinel-2 data for estimation of forest net primary productivity

Serious Gaming using Agent-Based Simulation for Anthropogenic Sandy Shores

• Read more about Serious Gaming using Agent-Based Simulation for Anthropogenic Sandy Shores

Settlement synergies: development and institutionalization of partipatory regional planning support systems for urban and marine economic development and climate adapation in Kenya, Ghana, Côte d'Ivoire and Rwanda

ITC has been supporting UN-Habitat , the United Nations organization for urban development, since 2011 with the development and implementation of a regional urban planning approach

• Read more about Settlement synergies: development and institutionalization of partipatory regional planning support systems for urban and marine economic development and climate adapation in Kenya, Ghana, Côte d'Ivoire and Rwanda

Slum mapping using citizen science, deep learning and transfer learning methods

Mapping slums in different urban environments across the Globe is extremely important for locating and prioritizing hotspots of urban poor for urgent climate action to combat the impact of cl

• Read more about Slum mapping using citizen science, deep learning and transfer learning methods

Snow depth estimation using SAR tomography (Develop a machine learning tool to discover Under glacier craters)

As global temperatures rise, the melting of the world's snow resources is causing sea levels to rise at an ev

• Read more about Snow depth estimation using SAR tomography (Develop a machine learning tool to discover Under glacier craters)

Space-time geostatistical modelling, mapping and simulation of COVID 19: A case study of the Netherlands

• Read more about Space-time geostatistical modelling, mapping and simulation of COVID 19: A case study of the Netherlands

Spatial models of observer intensity in citizen science

The mechanism by which we observe a phenomenon that unfolds in space and time fundamentally determines what we can learn about that phenomenon.

• Read more about Spatial models of observer intensity in citizen science

Spatial planning of sustainable groceries: promoting carbon-neutral food systems and quality of life in urban areas

Food packaging is responsible for 5.4% of global food systems emissions in 2015 (Crippa et al., 2021).

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Spatial, temporal and socio-economic aspects of (urban) hazards

Disaster risk is overall well understood, and many methods exist for risk analysis, decision support for risk reduction actions, and early warning, and to a lesser extent for early acti

• Read more about Spatial, temporal and socio-economic aspects of (urban) hazards

Spatio-temporal Data-driven Modeling and eXplainable Artificial Intelligence for Early-season Yield Prediction from Satellite Imagery Data

The accurate prediction of crop yields is a critical element in ensuring global food security, managing agricultural markets and supporting the decision-making processes of farmers and

• Read more about Spatio-temporal Data-driven Modeling and eXplainable Artificial Intelligence for Early-season Yield Prediction from Satellite Imagery Data

Spatiotemporal and Multiscale Modeling through Geographically Weighted Regression

Description

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Stability analysis of skyscrapers in the Netherlands using coherent stacking interferometry

For a skyscraper to be stable, it must be built on a strong foundation. However, several factors such as persistent use, aging and deterioration, etc.

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Statistical downscaling of ambient air PM concentrations using AOD from TROPOMI data

The growing public health concerns about ambient air quality such as particulate matter (PM) concentrations suggest the need for a holistic monitoring to guide interventions.

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Studying the Earth’s water from space with the newly launched SWOT satellite

The new Surface Water and Ocean Topography (SWOT) satellite, launched in December 2022, aims to map Earth's water in unprecedented detail to help manage climate change and to shar

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Subspace clustering for the analysis of geo-referenced time series

Geo-referenced time series are data describing the time-changing behavior of one or more attributes at fixed locations and consistent time intervals [1].

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Sustainable Transport

The goal of sustainable transport is to promote better and healthier ways for individuals and communities to meet their travel needs while reducing the negative social, environmental and economic i

• Read more about Sustainable Transport

Tenure from space - Using Remote Sensing in support of land administration

A huge task is waiting to realize the global agenda in relation to tenure security as recognized by the sustainable development goals (SDGs) set by the UN.

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The effect of bark beetle Ips typographus (L.) outbreaks on land surface temperature and net primary productivity in a mixed temperate forest.

Thermal remote sensing is a type of passive remote sensing that detects naturally emitted radiation.

• Read more about The effect of bark beetle Ips typographus (L.) outbreaks on land surface temperature and net primary productivity in a mixed temperate forest.

The internal constitution of planets: the links between thermodynamics and surface observations

Most of what we know about the internal structure of the Earth (and other rocky planets and moons) comes from the study of seismic waves and other ge

• Read more about The internal constitution of planets: the links between thermodynamics and surface observations

The power of Earth Observation to measure the variation and dynamics of perceived tenure insecurity

The world’s human population has been tripled during the past 70 years, from 2.5 billion in 1950 to 7.7 billion now (UN-Habitat).

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Timely assessment of crop phenology through the integration of Sentinel-2 imagery and crowdsourced photographs

Increasingly frequent extreme weather events have a major impact on agriculture and pose a threat to sustainable food production.

• Read more about Timely assessment of crop phenology through the integration of Sentinel-2 imagery and crowdsourced photographs

Towards a GeoAI: Enriching Large Language Models with geospatial knowledge

Although large language models (LLM) have been around for a while, the public release of ChatGPT demonstrated a quantum leap in the abilities of these models to respond to natural

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Towards Diurnal Digital Twinning of Agricultural Production using Next-gen Growth Simulation Models

Daily totals or daily averages are convenient to work with and provide a first, rough impression of the wea

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Towards the reduction of vulnerability to floods in rural areas.

GLOFAS is an ensemble of 3 components: A Metrological Model and Forecast (Numerical Weather Prediction (NWP) forecasts of the ECMWF IFS), A hydrological model (LISFLOOD) and a web

• Read more about Towards the reduction of vulnerability to floods in rural areas.

Translating warnings into action in Small Island Developing States (SIDS)

Despite the proven effectiveness of early warning early action in reducing disaster impacts and saving lives, around one-third of the glo

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Tsunamis generated by volcanic eruption and flank collapses combining remote sensing, field data and numerical modelling

Tsunamis caused by landslides flank collapses and pyroclastic density currents during or after an eruption are cascading hazards that could hav

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UAV Imaging Upscaling for Accurate 3D Model Generation using Deep Learning

The creation of 3D models of objects like buildings and other man-made structures is an important field of applications for city modelling, urban planning, cultural heritage, and many other a

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UAV-based and Satellite based data fusion for plant/soil monitoring

The fusion of UAV-based and satellite-based data has emerged as a powerful approach for plant health monitoring in agriculture.

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UAVs for Alignment Surveying of Overpass Bridge Pier Pads: A Potential Solution

Unmanned aircraft UAVs are mostly used for surveying in the architectural, engineering, and construction (AEC) sector because of their compact size, ease of movement, and the quantity of data

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Ultra-precise road marking vertices extraction using UAV imagery and deep learning algorithms.

When infrastructure companies refurbish asphalt, a road-marking inventory needs to be created in advance to allow for accurate road marking replacement.

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Understanding the impact of a land surface temperature change as a proxy of drought on net primary productivity in the European mixed forest

Droughts are exacerbated by climate change, which makes them more frequent, prolonged, and catastrophic.

• Read more about Understanding the impact of a land surface temperature change as a proxy of drought on net primary productivity in the European mixed forest

Unraveling the complexity of compound flood causes

The Netherlands is a county filled with river systems, the protection of susceptible areas depends on our understanding of the likelihoods of flood occurin

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Unravelling Drought Responses of Ecosystems in the Netherlands

The droughts of 2018-2020 in the Netherlands created great social distress, induced huge economic damages in agricultural production, disrupted river navigation and damaged buildi

• Read more about Unravelling Drought Responses of Ecosystems in the Netherlands

Unravelling the role of groundwater to quantify the distribution and severity of drought events in the Dinkel area, the Netherlands.

The recent 2018-2020 drought events that occurred in the Netherlands were considered as extremes, creating great social and economic damage in agriculture production.

• Read more about Unravelling the role of groundwater to quantify the distribution and severity of drought events in the Dinkel area, the Netherlands.

Urban Climate Observation over Enschede

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Urban Heat Stress Determination for Enschede

Climate change is nowadays prominently present on the political and thus scientific agenda, which is reflected in the Dutch Delta-Programme for Spatial Adaptation (“Delta-Programma Ruimtelijke Adap

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Urban morphology and socioeconomic status of cities

Student will use earth observation based data and techniques to understand urban socioeconomic patterns, and attempt to interpret these patterns by using physical metrics of urban morphology obtain

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Use of notebooks for cartography teaching

Interactive computational notebooks are browser-based tools that support shared workflows, coding, data, and visualisations.

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Use of Random Forest classifier for rainfall and rain rate retrieval

Understanding the hydrologic and energy cycles to enhance our meteorological and hydrologica

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Virtual Reality for Education - learning while in my back yard

Explore how to enhance field exploration using our local environment with the digital tools available.

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Vision transformers to model land surface phenology

To develop a model to estimate the timing of phenological events over large areas from time series of earth observation data using vision transformers, a fierce alternative to tra

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Water level monitoring over African lakes and rivers with low-cost GNSS interferometric reflectometry

Water level in lakes and rivers is a critical parameter to monitor for water managers. It captures the state of surface waters, and, if placed strategically, can be used in e.g.

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Who should own urban digital twins?

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Why is Nipah confined to a small pocket of Kerala?

Concept: Nipah, a deadly viral disease is confined only to a small pocket of Kerala.

• Read more about Why is Nipah confined to a small pocket of Kerala?

Wide-baseline dense image matching for glacier monitoring using deep learning

Glaciers store majority of the freshwater found in our planet.

• Read more about Wide-baseline dense image matching for glacier monitoring using deep learning

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130 Information Technology Research Topics And Quick Writing Prompts

The field of information technology is one of the most recent developments of the 21st century. Scholars argue that we are living in a technological age. Despite this buzz, however, many students still find it challenging to compose an information technology research topic.

Nonetheless, we are here to show you the way and lead you accordingly. Let us explore professional topics in information technology together then.

Quality Information Technology Topics For Research Paper

• The effects of Artificial Intelligence on complex and tedious tasks
• Discuss the development of computational & synthetic biology in research
• What are the limitations to the study of computer architecture in colleges?
• Discuss the evolution of animation, computer graphics, and game science
• Critically analyze how computing is contributing to the development
• What are the emerging fields of study in computer data science?
• How to manage data in the age of the 5G technology
• The impact of human-computer interaction on innovations
• How is machine learning exposing students to more recent opportunities in life?
• Evaluate molecular information systems and their role in biotechnology
• How information technology has contributed to natural language processing
• What are the latest developments in programming languages and software engineering
• Analyze emerging opportunities in the field of Robotics

College Research Paper Topics in Information Technology

• The rising security and privacy concerns with technological advancements
• What are the considerations when setting up systems and networking?
• Discuss the theory of computation and its contribution to information technology
• Why is ubiquitous computing attracting fewer students?
• The role of wireless and sensor systems in making the world a safe place
• Reasons, why cloud computing has helped save on space and efficiency
• Why are most computer students comprised of the male?
• Discuss the essence of amorphous computing in the 21st century
• How has biomedical mining impacted the health sector?
• Can cyborgs relate well with the man?
• How neural networking is making brain surgery a swift process
• The role of swarm intelligence in collaboration and brainstorming
• How are companies maximizing the use of Big Data?

List of Topics For Research Paper in Information Technology

• Discuss how the Internet of Things is transforming how people conduct their activities
• Challenges to software-defined networking
• How are marketers and promoters taking up software as a service?
• The role of augmented reality and virtual reality in healthcare systems
• How intelligent apps are making life easier for man
• The role of information technology in detecting fake news and malicious viral content
• Long term effects of a technologically oriented world
• Technological advancements that made it possible for the SpaceX shuttle to land on the International Space Station
• How technology is making learning more practical and student-centered
• What role has technology played in the spread of world pandemics?
• How are governments able to shut down the Internet for their countries during particular events?
• Does social media make the world a global village or a divided universe?
• Discuss the implications of technological globalization

Unique Information Technology Research Topics

• Discuss the areas of life which have been least exploited using technology
• What are the considerations for setting up an educational curriculum on computer technology?
• Compare and contrast between different computer processing powers
• Why is Random Access Memory so crucial to the functioning of a computer?
• Should computer as a subject be mandatory for all students in college?
• How information technology has helped keep the world together during the quarantine period
• Discuss why most hackers manage to break firewalls of banks
• Are automated teller machine cards a safe way of keeping your bank details?
• Why should every institution incorporate automated systems in its functions?
• Who is more intelligent than the other? Man or Computer systems?
• How is NASA implementing the use of Information technology to explore space?
• The impact of automated message replies on smartphones.
• Do mobile phones contain radiations that cause cancer?

IT Research Topics For High School Students

• How does natural language processing compare with machine learning?
• What is the role of virtual reality in the entertainment industry?
• Discuss the application of computer vision technology in autonomous cars
• How have CCTVs assisted in keeping the world safe?
• Effects of phishing and spying on relationships
• Why cyber espionage is on the rise in the face of the 5G technology
• Compare and contrast between content-based recommendation vs. collaborative filtering
• Evaluate the interconnection between the Internet of things and artificial intelligence
• Analyze the amount of data generated from the Internet of things in devices
• Ethical and legal implications of various technological practices
• How technology has contributed to the formation of Genetically Modified Organisms
• Describe in detail the vaccine development process
• Why nanotechnology may be the only hope left in treating HIV

Hot Topics in IT

• How companies can incorporate information technologies in their policy management systems
• The role of IT in enhancing service delivery in customer care centers
• How IT has made advertising more appealing and authentic to the consumer
• Discuss the innovation of the Next Generation education systems
• Why are there fewer Information Technology colleges and universities in developing countries?
• Discuss WIFI connectivity in developed countries
• What are the considerations when purchasing a Bandwidth Monitor?
• How to create an effective Clinic Management System for intensive care
• Factors that necessitate the development of an Enterprise Level System Information Management
• Is it possible to develop fully functional Intelligent Car Transportation Systems?
• Why the world should adopt E-Waste Management systems ASAP
• Discuss the impact of weather and climate on internet strength and connectivity
• The role of advanced information technologies preserving classified documents

Interesting Information Technology Topics

• Human resource information management systems in large organizations
• Evaluate the effectiveness of online enterprise resource planning
• A critical analysis of object tracking using radial function networks
• How has Bluetooth mobile phone technology developed over time?
• Ethical challenges arising from new media information technologies
• How the computer has developed over the last decade
• The role of social media in enhancing communication strategies
• Why new media technologies have made physical newspapers obsolete
• The impact of the Internet of news sourcing, production, distribution, and sharing
• Discuss the structures of various communication structures
• How social media is making ads easily accessible
• The impact of social networking sites on personal contact
• Discuss the latest content marketing ideas in the wake of information technology

Topics Related To Information Technology

• The impact of media exposure to adolescents and teenagers
• How mass media is slowly but surely taking over the place of personal socialization
• How to use the Internet and interactive media as advertising tools
• Discuss the trends in music marketing in a digital world
• The use of hype in new media technologies
• The impact of using YouTube and video blogs in communication messages
• Discuss the challenges that are arising as a result of new media technologies
• How to build trustful relationships in virtual communication channels
• Why it is impossible to maintain privacy in social media
• Reasons why cyberbullying continues to persist in various communication technologies
• The change in interpersonal communication with the invention of information technology
• Is the future of information technologies right?
• Discuss how sensationalism is persisting in the wake of new media technologies

Research Proposal Topics in Information Technology

• Is it possible to live in a world without social media?
• The impact of mass media on morality and decency in the 21st century
• Advantages and disadvantages of renewable energy sources
• How effective is hydrogen power over others?
• An overview of renewable energy technologies
• The impact of robots in improving food safety
• How are drones useful in keeping large acres of land secure?
• The impact of 3D printing on the practice of medicine
• The effectiveness of having robots in infectious disease units
• The impact of hydroponic farming
• How to improve disease control using technology
• Eliminating poisonous substances in food using technology
• The effectiveness of robotic surgeries

Hot Topics in Computer Science

• Distinguish between virtual reality and human perception
• How are the inventions in the field of computer science transforming the world
• Evaluate the effectiveness of high-dimensional data modeling
• Limitations to the field of computer science
• Are colleges and universities producing competent computer scientists?
• How ethical hacking has turned out to be worse
• The essence of having specialized banking systems
• What is the most effective security measure: A serial code or fingerprint?
• The development of programming languages
• The effect of computational thinking on science
• Is it possible to eliminate stalking?
• Ways of improving patent rights for technological innovations
• An overview of the different types of software security

Did you find an IT topic for your assignment? If not, our expert thesis writers are here for you. Order a research paper from us today and get to enjoy professional services.

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221 Interesting Thesis Topics for IT Students

Did you know that one of the most important parts of writing your dissertation is finding the best topic possible? You are probably having serious problems finding a topic for your thesis. After all, the thesis topics IT students are looking for are pretty rare. The reality is that in the IT field, most topics have already been written about. There are few things left to write it seems. Well, things are a bit different. We are here to assure you that you can find thesis topics for IT students. Also, we want to assure you that it is not at all difficult to find an interesting topic that you can write an engaging paper about. We will provide you with 21 such topics shortly. College students can use our topics for free; we are very happy to help!

Writing Your Thesis and Looking for Dissertation Topics?

• Why Thesis Topics for IT Students Are Important?
• Fresh Dissertation Topics for You

Best IT Thesis Topics in Artificial intelligence

Exceptional it thesis topics in computer science and engineering, refreshing it thesis topics in communication and media, top it thesis topics on food technology, thoughtful it thesis topics on technology and human identity, top it thesis topics on pharmaceutical technologies, it thesis topic ideas on energy power technologies, it thesis topics on medical devices and diagnostics, it thesis topics on biotechnology, more interesting it thesis topics for you, need more it dissertation topics.

As you are probably already aware, the IT field is advancing rapidly. Advancements are made almost daily in technology, including information technology. This is why so many students are looking for fresh 2022 dissertation topics. They want to write about the latest technologies and the latest gadgets. Of course, one can go online and find various 2022 thesis topics IT students would find impressive. You will probably find some that are relatively decent. But be aware that the evaluation committee will most certainly not be impressed by decent topics. They want something new. They want something that can pique their interest. They want to LEARN something from you. And they want to award you with some bonus points. Why not take them?

Why Thesis Topics for IT Students Are Important

Did you ever wonder why so many people dedicate so much time to finding a great topic? Probably not. Let’s shed some light on this. College students are looking for IT dissertation topics because they want bonus points. The topic is the first thing the evaluation committee sees. It is the most important part of your paper. As such, it must be interesting, engaging, and also helpful. It must show that you have put in the effort to write the dissertation. Awe the admission committee and you will surely get bonus points. Even if your dissertation is not the best, you will still get a good score if the topic you choose is exceptional. But engaging IT dissertation topics are difficult to come by. Most of your classmates have already picked the simple ones. But you are not like the rest of your class, are you? You want to be original and you want to make a lasting impression on the professors. This is why you need to take a look at our fresh dissertation topics.

21 Fresh Dissertation Topics for You (Absolutely Free)

Without further ado, here are the 21 thesis topics for IT students that we think are the most interesting and engaging:

• Conducting virtual business in the era of 3D Internet – the business of the future
• Analyzing e-tourism services in the UK: Factors that Influence Customer Satisfaction
• Mobile government applications and their benefits
• Producing believable emotions using AI systems for e-commerce
• The future of YouTube and multimedia distribution platforms
• Analyzing the impact of media technology on child development throughout the school
• Integrating an ERP system with a cloud service
• Developing a tool to analyze keystrokes and use the data for password security
• Analyzing critical vulnerabilities of the Android mobile operating system
• Analyzing the impact of e-publishing on libraries (one of the best thesis topics for IT students)
• In-depth analysis of the fault-recovery and redundancy in modern 4G mobile networks
• The impact of full-text databases on Google as a search engine
• Creating software capable of reading human emotions using a webcam
• How effective is face recognition as a security measure?
• Analyzing critical security vulnerabilities in IT systems used at the government level
• Does curbing software piracy in developing countries have any negative results?
• Using BitTorrent systems for faster multimedia delivery and playback
• How safe are whistleblowers operating on the Dark Web? (one of the thesis topics IT students are usually reluctant to write about)
• Building a Dark Web crawler that indexes onion sites based on specific criteria
• Creating a modern Tetris game in C# using OpenGL
• The advantages brought by mobile working to IBM and its employees

If you want to write a relevant research topic, consider writing about Artificial intelligence topics (AI). AI is a relevant phenomenon, and here is a look at some ideas of artificial intelligence that you should look into.

• Is deep learning an effective way of dealing with deep learning?
• How do artificial neural networks affect deep learning?
• Discuss the areas of life machine learning that are most influential.
• Ways to select the best algorithm for machine learning.
• How does NASA use robotics?
• Discuss the process of using natural languages to create a unique language.
• How does artificial intelligence affect computer vision?
• Compare and contrast the effects of supervised vs. unsupervised machine learning.
• The effects of reinforcement machine learning algorithms.
• Model-based vs. Model-free reinforcement learning algorithms.
• Deep learning as a subject of machine learning.
• Comparison between single vs. Multi-agent reinforcement learning.
• Ways that the social robots interact with the humans
• How do chatbots aid in the natural language processing system?
• Five ways of computer vision application.
• What is the recommended systems approach?
• What is the interconnection of the Internet of things and artificial intelligence?
• What amount of data is generated by the Internet of things devices?
• Compare and contrast content-based recommendation vs. collaborative filtering.
• What makes the collaborative filtering system stand out?

Computer science and engineering combine two different yet interconnected worlds of machines. The use of computer science uses the computer’s brain. It is, in most cases, used to include areas of studies like programming language and algorithms. Here is a list of research topics in computer science and engineering that you can use.

• In what ways is the virtual and human perception connected?
• What is the future of computer science-assisted education?
• What are computer science and high-dimensional data modeling?
• The imperative vs. declarative languages.
• Explain the use of blockchain and AI algorithmic regulations.
• How has blockchain technology impacted the banking industry?
• In what way does machine architecture use to affect the efficiency of code?
• What are the languages of parallel computing?
• Explain the way that mesh generation is used for computational domains.
• The cyber-physical optimization vs. the sensor networks.
• Explain the development of computer graphics in a photorealistic rendering case.
• What are game theory and network economics?
• What are the most effective cryptographic protocols?
• An overview of the software security types.
• It is possible to eliminate phishing.
• Floating point and programming language
• In what ways is the mesh generation used for computational domains?
• How to get the persistent data structure optimization
• In what ways does computer thinking affect science?

One of the first areas that technology affected was communication. With technology, media is used for social interactions, business development, and educational purposes. Here are exciting ideas to use when researching your IT thesis paper.

• What is the impact of ethics on communication?
• How the development of communication through the computer has evolved in the past decade.
• In what ways has social media impacted communication?
• What role do media play during a disaster? Does it increase panic or help in reducing it?
• Compare and construct the authority’s media presence in different countries.
• Will people start preferring newspapers to new media again?
• In what ways has the Internet changed media?
• Discuss communication networks.
• What impact do social media have on super bowl ads?
• What are the new content marketing ideas?
• What is the impact of media exposure on adolescents?
• In what ways do people use hype in the media?
• Discuss the media and freedom of speech.
• Is it possible for people to build trustful relationships in virtual communication?
• What measures can you put to maintain privacy on social media?
• In what ways have computers changed interpersonal communications?
• What is yellow journalism in new media?
• In what ways do enterprises use ICT to get a competitive advantage?
• Is it possible to live without mass media?
• What are the impacts of mass media and morality in the 21st century?

If you are searching for a qualitative research topic about technology in the food industry, here is a list of ideas you can use.

• What are the machines used in the food industry?
• In what ways do robots improve safety in butcheries?
• 3D printing and the food industry.
• Is 3D printing the best solution to offer people with swallowing disorders?
• About drones and precision agriculture.
• In what ways does robotics help in creating eco-friendly food packages?
• Is micro packaging the future?
• Research on the development of edible cling film.
• The solution that technology has to food waste.
• How do preservatives and additives impact the human gut microbiome?
• Physicochemical levels the effect of citric acid on orange juice.
• Compare and contrast vegetable oil in mass production.
• Time-temperature indicators and food industry.
• Farming: hydroponic vs. conventional farming.
• How is food safety a policy issue in agriculture today?
• Ways you can use to limit the detection of parasites in food.
• How is the baking industry evolving?
• How technology is used to eliminate byproducts in edible oils production
• About cold plasma and biofilm.
• Ways to extract good antioxidant peptides are extracted from plants.

The ethical issues surrounding the enhancement technology are intertwined with the questions of human identity and the proper trajectory of human life. Here is a list of thesis ideas you can use in your research.

• Does technology make human life worth living than animal life?
• The dignity of human life concerning technology explained?
• In what ways should humans be observed in informational technology?
• Should tech and scientific investigations on humans have a limit?
• What is the importance of DNA information in forming our identity?
• Is Ancestry DNA testing important?
• Explain multi-racial identification.
• Can scientific investigations tell us what self-care is?
• In what ways will virtual reality technology change us?
• Should there be a limit on the research in virtual reality? The possibility of virtual reality being the future.
• What are the benefits of using virtual reality technologies?
• What is the importance of finding alternative treatments for mental illness other than drugs?
• Has the increase in technology affected the rise of mental illness?
• Ways technology can be used to control addiction.
• Pros and cons of using technology to control brains.
• 7 social dangers of the brain controlling technology.
• Does science dictate who we are?
• What has led to the increase in mental illness among tech enthusiasts?
• Can tech-related mental illness be cured?
• What is the relationship between technology and drug addiction?

Companies are using technology to search for ways they can use it to reduce costs and boost effectiveness by doing pharmaceutical technology research. Impress your lecturer by choosing one of the research topics discussed below

• What is the effectiveness of medical therapy management?
• Explain how prior electronic authorization is a pharmacy technology trend.
• Explain the medical therapy management and the health information exchanges.
• How can electronic prescribing reduce the possibility of drug abuse issues?
• Ways that pharmacists help with meaningful tech use.
• Discuss various pharmaceutical technologies.
• Pharmaceutical technology research.
• What are specialty medications?
• Vaccines for AIDS: can it be developed?
• Ways that the prescription drug monitoring program works.
• How do specialty pharmacies use NCPDP?
• Why are patients interested in real-time pharmacy?
• Phenotypic screening research.
• Impact of ERP with pharmaceutical company’s analytics.
• Pharmaceutical technologies: data security.
• About DNA-encoded library technology.
• Pro and cons antibiotics vs. superbugs.
• How does the body-on-a-chip approach be used for personalized medicines?
• Modern cannabidiol medicine and pain management.
• What is the future of cannabidiol medicine?

It is not possible to have a technology process without energy. That is the reason that scientists are always looking for ways they can improve energy power technologies. So, if you are looking for thesis topics you can use to impress your lecturer, here is a list of power technology research you can use.

• Ways that fuel cells can be used for the generation of stationary power.
• Compare the energy density of lithium-ions and lithium-air batteries.
• Gasoline vs. Lithium-air batteries.
• The pros and cons of renewable energy use.
• How does the UAE use nuclear power?
• Research on India power installation.
• Increase in gas prices and alternative energy sources.
• How can hydrogen energy be used to transform the methods or energy?
• Is hydrogen energy the future?
• About the thermal storage and AC systems.
• In what ways can you use load balance using a smart grid?
• How can distributed energy generation optimize power waster?
• Is the smart energy network a solution to climate change?
• What is the future of tidal power?
• What is the possibility of 3D printing micro stirring engines?
• In what ways can robots be used to adjust the solar panel weather?
• Explain advanced biofuel and algae.
• In what ways can photovoltaic glass be fully transparent?
• Compare the different third-generation biofuels.
• Is space-based solar power a myth or the reality of the future?

The innovation of medicine and technology helps to improve life expectancy. If you feel that saving lives is your purpose, here are some thesis topics you can use in your research paper.

• The effects of robotic surgeries.
• Explain defibrillator & cardiac resynchronization therapy.
• How smart can inhalers be used as a new solution to asthma treatment?
• Genetic counseling: ways of preventing diseases.
• What are the benefits of electronic medical records?
• How is Erythrocytapheresis used to treat sickle cell disease?
• The reason that drug-eluting stents fail.
• An overview of the dissolved brain sensors.
• What are the benefits of 3D printing for medical purposes?
• How soon will it be possible to create an artificial organ?
• Research on wearable technologies in health care.
• Precision medication based on genetics.
• The importance of using virtual medicine devices for educational purposes.
• Research on the development of telemedicine.
• How is technology impacting cancer treatment?
• Is genome editing safe?
• How is the electronic diagnosis tool evolving?
• Brain-machine interface, the future.
• How does the use of wireless communication help medical professionals in hospitals?
• Ten ways wearable technology impacts the medical industry.

The development of biotechnology allows people to cure diseases and help with new machines. Here are some ideas of interesting topics you can use for your biotechnology thesis research.

• Ten impacts of biotechnology in farming.
• How does biotechnology lead to a self-sufficient protein supply?
• Evapotranspiration vs. Evaporation.
• DNA cloning and a Southern blot.
• How are personalized drugs made?
• What is pharmacogenetics?
• Is cloning playing God?
• How is pharmacogenetics used to get cancer medicines?
• Is it possible to control our genetics?
• How much genetic control do humans have?
• Based on genetics, at what point do we cease to be human?
• Research on bioethics and stem cells.
• Definition of genetic engineering.
• Gene therapy and genetic engineering.
• Ten benefits and risks of genetic engineering.
• How does plant genetic enhancement help preserve scarce plants?
• South Africa Y-chromosome genotyping.
• Ways technology is used in the creation of new vaccines.
• How does Nanotechnology help in treating HIV?
• An overview of Genes in heavy metal tolerance.

Your IT thesis does not have to be boring. Here is a list of interesting thesis topics that will impress your lecturer.

• Ways that you can eliminate heat-resistant microorganisms with ultraviolet light.
• In what ways can pesticides be used to diagnose cancer?
• How can the smeller nuclear reactors be more efficient?
• An overview of renewable energy technologies.
• Explain electronic use in the food industry and agriculture.
• The harm of polyphenols in food.
• Hope for anticancer nanomedicine.
• Does increasing military technology make use safe?
• What is the importance of military research?
• In what ways can technology be used to gauge intelligence?
• In what ways is Google search changing us?
• Blogs vs. books.
• How is teaching IT research skills important today?
• Should parents and schools encourage or discourage social media?
• Does Google affect the attention span of young people? What is the borderline in hardware and software cloud computing?
• What will be the impact when everything moves to the cloud?
• How will virtual reality change education?
• If the computer takes over most of our tasks, what will humans do?
• What will computer language be important in the future?
• What are the benefits of robots in health care?

Of course, there are dozens of other thesis topics on which students could write a paper. Some companies specialize in providing college students with entire lists of topics on a specific subject. You just need to contact an online academic writing company and tell its writers what you need. These people have extensive experience in the IT industry and have probably written dozens of dissertations. They can help you with more dissertation topics. And the best part is that some of these online services are quite affordable. An exceptional topic is worth the money – guaranteed!

Are you stuck with writing your thesis? Just enter promo “ mythesis ” – that’s all you need to get a 20% discount for any IT writing assignment you might have!

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Prize-Winning Thesis and Dissertation Examples

Published on September 9, 2022 by Tegan George . Revised on July 18, 2023.

It can be difficult to know where to start when writing your thesis or dissertation . One way to come up with some ideas or maybe even combat writer’s block is to check out previous work done by other students on a similar thesis or dissertation topic to yours.

This article collects a list of undergraduate, master’s, and PhD theses and dissertations that have won prizes for their high-quality research.

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Table of contents

Award-winning undergraduate theses, award-winning master’s theses, award-winning ph.d. dissertations, other interesting articles.

University : University of Pennsylvania Faculty : History Author : Suchait Kahlon Award : 2021 Hilary Conroy Prize for Best Honors Thesis in World History Title : “Abolition, Africans, and Abstraction: the Influence of the “Noble Savage” on British and French Antislavery Thought, 1787-1807”

University : Columbia University Faculty : History Author : Julien Saint Reiman Award : 2018 Charles A. Beard Senior Thesis Prize Title : “A Starving Man Helping Another Starving Man”: UNRRA, India, and the Genesis of Global Relief, 1943-1947

University: University College London Faculty: Geography Author: Anna Knowles-Smith Award:  2017 Royal Geographical Society Undergraduate Dissertation Prize Title:  Refugees and theatre: an exploration of the basis of self-representation

University: University of Washington Faculty:  Computer Science & Engineering Author: Nick J. Martindell Award: 2014 Best Senior Thesis Award Title:  DCDN: Distributed content delivery for the modern web

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University:  University of Edinburgh Faculty:  Informatics Author:  Christopher Sipola Award:  2018 Social Responsibility & Sustainability Dissertation Prize Title:  Summarizing electricity usage with a neural network

University:  University of Ottawa Faculty:  Education Author:  Matthew Brillinger Award:  2017 Commission on Graduate Studies in the Humanities Prize Title:  Educational Park Planning in Berkeley, California, 1965-1968

University:  University of Ottawa Faculty: Social Sciences Author:  Heather Martin Award:  2015 Joseph De Koninck Prize Title:  An Analysis of Sexual Assault Support Services for Women who have a Developmental Disability

University : University of Ottawa Faculty : Physics Author : Guillaume Thekkadath Award : 2017 Commission on Graduate Studies in the Sciences Prize Title : Joint measurements of complementary properties of quantum systems

University:  London School of Economics Faculty: International Development Author: Lajos Kossuth Award:  2016 Winner of the Prize for Best Overall Performance Title:  Shiny Happy People: A study of the effects income relative to a reference group exerts on life satisfaction

University : Stanford University Faculty : English Author : Nathan Wainstein Award : 2021 Alden Prize Title : “Unformed Art: Bad Writing in the Modernist Novel”

University : University of Massachusetts at Amherst Faculty : Molecular and Cellular Biology Author : Nils Pilotte Award : 2021 Byron Prize for Best Ph.D. Dissertation Title : “Improved Molecular Diagnostics for Soil-Transmitted Molecular Diagnostics for Soil-Transmitted Helminths”

University:  Utrecht University Faculty:  Linguistics Author:  Hans Rutger Bosker Award: 2014 AVT/Anéla Dissertation Prize Title:  The processing and evaluation of fluency in native and non-native speech

University: California Institute of Technology Faculty: Physics Author: Michael P. Mendenhall Award: 2015 Dissertation Award in Nuclear Physics Title: Measurement of the neutron beta decay asymmetry using ultracold neutrons

University:  Stanford University Faculty: Management Science and Engineering Author:  Shayan O. Gharan Award:  Doctoral Dissertation Award 2013 Title:   New Rounding Techniques for the Design and Analysis of Approximation Algorithms

University: University of Minnesota Faculty: Chemical Engineering Author: Eric A. Vandre Award:  2014 Andreas Acrivos Dissertation Award in Fluid Dynamics Title: Onset of Dynamics Wetting Failure: The Mechanics of High-speed Fluid Displacement

University: Erasmus University Rotterdam Faculty: Marketing Author: Ezgi Akpinar Award: McKinsey Marketing Dissertation Award 2014 Title: Consumer Information Sharing: Understanding Psychological Drivers of Social Transmission

University: University of Washington Faculty: Computer Science & Engineering Author: Keith N. Snavely Award:  2009 Doctoral Dissertation Award Title: Scene Reconstruction and Visualization from Internet Photo Collections

University:  University of Ottawa Faculty:  Social Work Author:  Susannah Taylor Award: 2018 Joseph De Koninck Prize Title:  Effacing and Obscuring Autonomy: the Effects of Structural Violence on the Transition to Adulthood of Street Involved Youth

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Thesis and Completing your Studies in Informatics

General information on your thesis.

• For tips on finding a topic and completing the thesis, please come to the information event Let's talk about - Final Thesis @in.tum
• It is mandatory to be enrolled while writing your thesis.
• For information on writing guidelines, formatting, extension, submission, and visibility of registration and submission, please see thesis in detail .

Thesis in detail

Possible examiners.

All examiners of the Computer Science and Computer Engineering Department at the School of Computation, Information and Technology can supervise Bachelor's and Master's theses. In addition, all affiliate members of the former Department of Informatics can be examiner.

You can find out which department an examiner belongs to in TUMonline. Here you will find lists for professorships and chairs:

Chairs and Professorships in Computer Science Chairs in Computer Engineering Professorships in Computer Engineering

Formatting instructions

• No handwriting (apart from date and signature at the second page)
• Cardstock (no transparent film, no plastic cover)
• Hardback (no spiral binding)
• Technische Universität München or Technical University of Munich
• School of Computation, Information and Technology - Informatics
• Master's Thesis in | Bachelor's Thesis in Informatics | Informatics: Games Engineering | Information Systems | Biomedical Computing | Data Engineering and Analytics ...
• Thesis title (in the language of the thesis). Please note: If the title is different from the title you have registered, the new title must be confirmed by your examiner.
• First and last name of the author.
• The TUM and departmental logos are optional.
• Please note:  The TUM and departmental logos are optional. Do not attach any notes, images and company name or other logos. No company name or company logo. 
• Author and shortened title, Imprinted or permanently fixed (f.e. glue on the text with wide tape).

First page:

• Repeat the cover information. 
• The title must be written in English as well as German.
• Examiner:  The first and last names of the supervisor including the academic title
• Supervisor/s:  The first and last names of the advisor/s including the academic title
• the actual submission date
• or the submission deadline (15th of the month)
• Please note:  Do not include your student registration number or other personal data such as date of birth. Do not attach any notes, images and company name or logo.

Second page:

• Include the following declaration: I confirm that this bachelor's thesis | master's thesis is my own work and I have documented all sources and material used.
• Handwritten signature and date of signature  (date may also be handwritten).

Formatting (examples and template)

LaTeX template

There is a (non-official) LaTeX template , but the previously mentioned formatting instructions should be checked.

Code of Conduct

Please respect the  Student Code of Conduct .

TUM Writing Guidelines

• TUM The Use of English in Thesis Titels at TUM

TUM Handout Theses

The latest version of the handout can be found on the central website Downloads - Teaching and Quality Management .

Registration

Bachelor's thesis / master´s thesis.

From 15 January 2024 , all final theses in the School of Computation, Information and Technology will be managed via the CIT portal.

Once you have found a topic and a supervising chair for your thesis, you will be registered by the supervising chair . You will receive an e-mail asking you to confirm your thesis registration. Only after you have confirmed your registration the Academic Programmes Office will be able to check the admission requirements and you will receive an email confirming your binding registration for your thesis.

For more information, see  Thesis and Competing your Studies

Deadline for submission of Bachelor´s Thesis is is four months later at the latest (Bachelor Informatics and Informatics: Games Engineering) resp. five months later at the latest (Bachelor Information Systems)

Deadline for submission of Master´s Thesis is six months later at the latest. Other deadlines apply for  part-time students .

Visibility in TUMonline (Registration and Submission)

How can I see in TUMonline that my thesis is registered?

On your personal overview page in TUMonline, you will find the application "Student Files" in the section "Studies and Courses". If you click on it, you will get to your student file, where there is also a tab "Degrees". In the lower part of this tab you will find your thesis, if you are already registered. If you hold the cursor over the orange dot, your submission date will be displayed.

Alternatively, you can go to your "Curriculum Support" via the tile "Study Status/Curriculum". If you expand the entry "Bachelor'sThesis" with the "Plus" twice, you will see a note that the thesis is registered.

When we have received your thesis and registered your submission, this will also be displayed there.

Submission and Extension for theses starting before 15.01.2024

The subsequent regulations apply only to students in the following degree programs:

• Bachelor: Informatics, Informatics: Games Engineering, Information Systems
• Master: Biomedical Computing, Data Engineering and Analytics, Informatics, Informatics: Games Engineering, Information Systems,

Onsite submission - Only for theses starting before 15.01.2024

Next Submission Date: Friday, March 15th, 2024, 10 a.m. - 1 p.m., room 00.10.033

The submission of final theses is possible on every 15th of a month, or on the next following working day at the times indicated above, in room 00.10.033.

Submission by post - Only for theses starting before 15.01.2024

If it is not possible for you to hand in your final thesis onsite, you will have to send it by post.

Please mail one copy of your thesis by post to:

Technische Universität München Servicebüro Studium Informatik, SB-S-IN Boltzmannstr. 3 D-85748 Garching

The date of the postmark counts.

Submission regulations - Only for theses starting before 15.01.2024

• the thesis must be submitted on the 15th of the month, or the next working day if the 15th is a Saturday, Sunday, or public holiday
• early submission is possible
• Submit one paper copy at the Academic Programs Office - Informatics
• Submit one copy to your examiner (please clarify with your examiner how to submit this copy)
• You may also wish to give one copy to the departmental library and one copy to the supervisor, but this is not compulsory.

If a final thesis has been approved as a group paper in consultation with the examiner in the sense of §18 Para. 2 of the APSO, each author must nevertheless submit a separate copy of the thesis with his or her own affidavit. The individual assignment of the examination performance to be evaluated should be clearly evident from the work. On the cover page and the spine only the name of the student submitting this copy should be written. On the first page, all authors can be listed under "Authors".

If you are unable to meet the submission deadline of your thesis for valid reasons for which you are not responsible, you can submit an application for an extension of the thesis to the Examination Board.

The application must be submitted immediately to the secretary responsible for your degree program, by email from your TUM account. If possible, please fill in and sign the form digitally. Medical certificates also have to be submitted in original (by post). The processing time after submission of all documents is usually two weeks, and you will be notified of the Examination Board's decision.

Applications can generally be divided into two categories:

1) Health reasons

If you are ill and can prove by a certificate that you are prevented from working on your thesis, the processing time is suspended. In the Department of Informatics, this is represented by an extension of your submission deadline. A medical certificate must be enclosed with the application in original. A certificate of incapacity for work is not sufficient. You can find the requirements for a certificate on the website  Withdrawing from Examinations – Medical Certificates .

Request for an Extension for Health Reasons

2) Other reasons

In cases of delays due to other valid reasons for which you are not responsible, the submission deadline of your thesis may be extended in exceptional and particularly justified cases in agreement with the thesis examiner and with the approval of the Examination Board. Please enclose a detailed justification (if possible with supporting documents) with your application.

Request for an Extension for Other Reasons

Completing your Studies

Release of final certificate.

Please contact the secretary of the Examination Board of your study program via e-mail for the release of your Bachelor's degree documents when all grades have been entered and validly set. For enrollment in consecutive Master's programs in Informatics at TUM, the following applies: From mid-September and mid-March respectively, the graduation will be reported directly to the Enrollment Office after the release of the transcripts, so that the graduation documents are no longer necessary for enrollment.

Graduation documents and preliminary certificates

Please be aware that graduation documents and preliminary certificates can only be issued when all grades in TUMonline (including the thesis) are validated. Certificates for students of the Faculty for Informatics  are issued by the  Graduation Office and Academic Records Campus Garching  exclusively,  after approval by the Examination Board . Please contact the  Secretary of the Examination Board of your study program  as soon as all your grades are validated. (Responsible Secretary of the Examination Board: see section "Contact" on the webpage for your study program)

Transition Bachelor – Master

If you enroll for a consecutive Master's program at the Department of Informatics after your Bachelor's degree, we will forward your bachelor's degree to the Admissions and Enrollment Office for enrollment (not for the application!). The graduation documents are therefore not necessary for enrollment. A green checkmark will then appear in the online application portal for your degree certificate and diploma. Please note that it may take a few days until the documents are updated in the portal. If you do not see these two green check marks 1 week before the enrollment deadline, please contact the secretary of the examination board as soon as possible.

Please find more information under  graduation .

Home > BIT > Masters Theses

Business and Information Technology Masters Theses

Theses from 2023 2023.

SENTIMENT STRENGTH AND TOPIC RECOGNITION IN SENTIMENT ANALYSIS , Esi A.R. Adeborna

Theses from 2022 2022

Smart living with artificial intelligence -- potential impact of artificial intelligence on mental well-being , Weiyu Wang

Theses from 2021 2021

Computer gamification: Addressing symptoms of inattentive ADHD in children , Shavonne Victoria Halterman

Factors affecting COVID-19 pandemic , Linrui Han

Values of trust in AI in autonomous driving vehicles , Ru Lian

A systematic analysis of eye-tracking metrics for sleepiness , Debasis Roy

A meta-analysis: Gamification in education , Yalin Wang

Theses from 2020 2020

Values of artificial intelligence in marketing , Yingrui Xi

Theses from 2019 2019

Predictive modeling of webpage aesthetics , Ang Chen

The impact of artificial intelligence on higher education , Yizhi Ma

Impact of framing and base size of computer security risk information on user behavior , Xinhui Zhan

Theses from 2018 2018

Classification of EEG signals of user states in gaming using machine learning , Chandana Mallapragada

Impact of probable and guaranteed monetary value on cybersecurity behavior of users , Santhosh Kumar Ravindran

Neural correlates of flow, boredom, and anxiety in gaming: An electroencephalogram study , Tejaswini Yelamanchili

Theses from 2017 2017

AN EXPERIMENTAL COMPARISON OF TWO MACHINE LEARNING APPROACHES TO INVESTIGATE GENDER DIFFERENCES IN EMOTION CLASSIFICATION , Wangchuchu Zhao Han

Impact of framing and priming on users' behavior in cybersecurity , Kavya Sharma

Sentiment analytics: Lexicons construction and analysis , Bo Yuan

Theses from 2016 2016

Factors influencing the adoption of smart wearable devices , Apurva Adapa

Effect of cooperation on players' immersion and enjoyment , Lakshmi Sushma Daggubati

Using eye-tracking to understand user behavior in deception detection system interaction , Prashanth Kumar Lakkapragada

Understanding user experience in gaming , Sri Chaitanya Sanaboina

Effect of timing and source of online product recommendations: An eye-tracking study , Qing Zeng

Bridging the gap between supply chain and consumer experience , Cui Zou

Theses from 2015 2015

Online diagnosis of diabetes with Twitter data , Farheen Ali

Theses from 2013 2013

Assessment of an enterprise employee portal using dashboard monitoring system: a case study , Aditi Mishra

Shopping alone online vs. co-browsing: a physiological and perceptual comparison , Ceren Topaloglu

Theses from 2012 2012

Under pressure: a psychophysiological analysis of the effect of temporal constraints on information processing and decision making , Nagaratna Krishna Sneha Pochinapeddi

Theses from 2011 2011

Improving student learning outcomes through personal response systems (clickers) , Ran Cai

Comprehensive evaluation of a computer based learning system , Arun Sharma Chintalapati

Assess commercialization feasibility of algae-based bio-fuel with Dashboard and Scorecard technologies , Madhur Chopra

Eyes don't lie: understanding users' first impressions on website design using eye tracking , Sirjana Dahal

Analyzing dashboard performance in educational, non-profit sectors , Rutuja B. Honnatti

Effect of web atmospheric cues on users' emotional responses in ecommerce , Tanvi Joginapelly

Social network analysis of the video bloggers' community in YouTube , Anusha Mogallapu

Applying text timing in corporate spin-off disclosure statement analysis: understanding the main concerns and recommendation of appropriate term weights , Aravindh Sekar

Longitudinal evaluation of a learning system for teaching geographical information system within the context of a geotechnical problem , Aparna Sukhavasi

Theses from 2010 2010

Developing a model for evaluating software tools in education , Vedant Jain

A pilot study in an application of text mining to learning system evaluation , Nitsawan Katerattanakul

Impact of management status, gender, and level of project involvement on corporate governance in a role-based enterprise portal environment , Daniel Augusto Pereira Brás Sequeira

Theses from 2009 2009

The effects of technology on literacy(s) , Thomas Glen Petersen

Integration of a GIS learning system into civil engineering curricula: an evaluation , Basanta Tandon

Comparison of dashboard-based and balanced scorecard-based corporate performance management system , Lin Zhu

Theses from 2007 2007

Toward improving performance measurement in public sector organizations , Matthew Thomas Kutz

An exploratory study of the videoblogger's community , John Warmbrodt

Theses from 2006 2006

A framework of text mining approach for sentiment analysis of news articles using information agents , Balasubramanian Guruswamy

An exploration of collaborative 3D visualization processing in engineering education and supporting tools , Erik Schwartz

A usability and performance analysis of multiple monitor displays and multitasking , Jacob M. Truemper

Theses from 2005 2005

Exploring cooperative learning in an initial computer programming course using Visual Basic , Christopher Duane Brown

Mental models in airborne landmine detection , John William Brown

A conceptual framework of using collaborative filtering algorithms to enhance keyword search , Shreyas S. Deokule

Multi-user search engine (MUSE): supporting collaborative information seeking and retrieval , Rashmi Krishnappa

Social networks: role of personalization and interaction in virtual community for enhancing business , Nisha Maguluru

Collaborative information seeking: A study of a patient care team in the emergency department , Patricia Ruma Spence

Theses from 2004 2004

Iterative usability testing in the development of a learning technology system for teaching geographic information systems within a civil engineering curriculum , John McKenna Sullivan

Learning in affectively intense virtual environments , Lawrence M. Wilfred

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MSc Project Topics in Information Technology

          MSc Project Topics in Information Technology is the worlds No 1 service offered to help any student in the field of information Technology who is in need of some help and also guidance. Our service offered to help any student in the field of Information Technology who is in need of some help and also guidance.  When it comes to research assistance, we are the most reliable source as we proud recipients of the ISO 9001:2000 certificate.

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Stage 1: selecting research area.

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Stage 3: Identifying Problems

• Problems identified in current papers published in Top Journals [IEEE, SPRINGER, Elsevier, also ACM etc.]
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• Beginning the process of implementation after acceptance
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• It determines the end result
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Topics in Information Technology:

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• Gigabit wireless communications using mm-Wave Circuits
• Low power applications development using energy harvesting
• Sensor for industrial and biomedical applications
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• Hybrid vehicles using multiphase electric motors
• Smart cities applications using multi-hop wireless sensor networks
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Thesis Topics for Master's and PhD in Information & Communication Technologies (ICT)

I have collected a list of relevant Thesis (and possibly Doctoral dissertation)  topics and titles for Master’s Students in ICT field of study. These Thesis topics come from varieties of sources including my own experience during preparation of Thesis and Special Study. Feel free to add or comment your thesis or dissertation topics in ICT (Information and Communication Technologies) Field of Study. This article shall be updated with newer list of thesis topics for Master’s and Doctoral degrees in ICT as soon as I come across your suggestions and new happenings in the field.

• Cognitive Radios & Cooperative Relay Networks – performance evaluation
• Disaster Warning & Post-disaster Communications (this is really a vast topic)
• Applications of ICT in Sustainable Development (find any specific topic to work on)
• Ad-hoc network based Social Network and iMANET
• P2P Systems & Social Networks, Internet of Things ( Social Networks on contribution after  thesis)
• Wireless Mesh/Sensor Network – energy harvesting, security, mobility, self-configuration (be precise on ay specific topic under WSN)
• 3D Internet and VirtualWorlds (Green ITS) – OpenEnergySim: an open source platform for exploring“Green ITS” (Intelligent Transport System) and eco-driving in the Unity3D virtual world (immersive drivingwith game wheel, traffic simulation, CO2 emission simulation, collaborative evaluation framework of ITS measures, modeling driver behavior, etc) http://www.prendingerlab.net/globallab
• Protocol design in Resource management and QoS control in wireless networks
• Networks of the Future and Cloud. Advisor prof. Djamal Zeghlache .
• Web 2.0 as leverage force to automate enterprise tacit interactions. Advisor prof. Walid Gaaloul/Bruno Defude .

SOA and Web 2.0 have coexisted as integration paradigms on the Web for some years now. SOA is typically applied in business contexts, while Web 2.0 is an informal approach for ad hoc integration. The two approaches reflect the IT/people duality: while people require well presented knowledge and implicitly coordinate their cooperation through data/knowledge communication, machines deal rather with structured data and explicitly coordinate their interactions.

This PhD proposal tries to reconcile these conflicting requirements by combining the complementary strengths of SOA (processing automation) and Web 2.0 (user centric practicality) in order to enable end users to cooperate and manage domain specific processes on the Web. Having a process driven approach and an enterprise centric context, we aim to deal with methods and tools for supporting organization tasks achievement.

• Semantic Workflow Mining. Advisor prof. Walid Gaaloul/Bruno Defude .

The term mining means different things to different people. In the IT field, database was among the first discipline to embrace this term through data mining. After a while, businesses felt that mining data is not enough for discovering the good and bad practices in how they do things in terms of executed processes, arisen exceptions, and deployed solutions. As a result, process-mining discipline came into play with new hopes for businesses. Nowadays different approaches and techniques promote the use of process mining so that decision makers are in a better position to know who did what, when was it done, how did it end-up, and where did it happen. Logs that keep track of all executed activities are the primary source of process mining. These activities are usually part of workflows upon which different applications like Customer Relationship Management~(CRM) and Enterprise Resource Planning~(ERP) are being built.

A workflow can be abstracted through three complementary and interacting models: organizational, informational, and process. The first model identifies the actors of a workflow and the activities these actors can carry out. The second model structures the documents and data that a workflow’s processes manage. Finally the process model defines and coordinates the activities that form processes. Despite the value-add of logs to workflow mining with focus on process discovery, several studies have proven the limitations of these logs when time comes to identify a workflow’s informational and organizational models. Both models are critical as they permit to detect what is going on in a business in terms of organizational structure and information flow.

To address logs’ limitations, one step consists of enriching logs with semantical details that will be drawn from the interactions that take place during workflow performance. The semantic enrichment of logs should help identify the organizational and informational models of a workflow. On the one hand, the organizational model would show the types of relationships (e.g. delegation, cooperation, conflict) that govern the interactions between actors in an organization or between actors from different organizations (such as hierarchy, coalition, market, sub-contracting, etc.). These relations could be static, dynamic, temporary, spontaneous, etc. On the other hand, the informational model would show the different data flows that interactions carry whether these flows were official or unofficial. Using of agent technology we aim at providing a new view on workflow mining. This technology handles and provides representation for organizational concepts, such as groups, roles, commitments, an also organizational structures, -such as federation, hierarchy or market-, inherited from “Organizational Theory”. All these concepts are useful to structure, rule or at least understand at a macro level the coordination patterns of the different partners involved in a workflow or an Inter-Organizational Workflow (IOW).

PhD Research Topics – CSIRO ICT Centre, Canberra:

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 1. Real-Time Stream Processing using GPUs

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Over the last decade, data analysis has become central to important scientific discoveries. In almost every field of science ranging from astronomy to marine biology, colossal amounts of data are being generated in very short periods of time. Modern computing resources are capable of efficiently collecting and storing vast data streams. However, the scalable and distributed analysis of such large data sets in real time poses compelling research challenges. In addition, application service providers performing real time analysis of streaming data attempt to abolish the existence of erroneous data that cause uncertainty and erroneous judgments. Specifically, there exists a distinct requirement for intermediaries that easily map exhaustive computations on large data sets to heterogeneous and distributed computing resources by ensuring data quality and reducing errors to deliver better quality of service. As a consequence, there is an increasing need for innovative software solutions, new hardware architecture and methodologies that harvest emerging distributed computing resources in an efficient manner. This PhD project will develop a novel set of architecture, algorithms and tools to perform real-time data stream processing, using a variant of MapReduce Programming model, running on GPUs.

2. High-Throughput/High-Content Analysis in Bio-Science Applications

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The Transformational Biology Platform within the Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia is supporting activities that aim to accelerate the analysis of biological specimens. One application in view is to automatically identify protein crystals from a time series of 2D images of slowly evaporating solutions. According to the current operational flow, once images are acquired from physical specimen, downstream processing is performed for feature extraction and further analysis such as classification, clustering and ranking are performed. While the processing phase in the operational pipeline is readily parallelizable, care and planning need to be taken to realize the potential for computational speedup. This PhD project will create approaches for efficient image data management and parallelize execution (in the form of workflows) that can be used in the development of bioscience image analysis pipelines. Two potential computational biology applications for this project are: i) high-throughput assessment of protein crystallization experiments and ii) pollen image analysis.

3. Integration of Body Sensor Networks and Cloud Computing

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A specific class of wireless sensor networks is Body Sensor Networks (BSNs) that represent an emerging platform for many human-centered applications, spanning from medical to gaming and social networking. This area is particularly dense of interest because foreseen real-world applications of BSNs aim to improve the quality of life by enabling continuous and real-time non-invasive medical assistance at low cost. In a common health care scenario, assisted livings are monitored by BSNs able to gather data streams to be not only processed in real-time but also stored in remote medical data repositories. This implies a huge amount of data to be transmitted, stored and analyzed. In such contexts, management of a large number of isolated BSNs as well as cooperative BSNs to support applications for e-Health, e-Society, etc will be an important issue to deal with. Moreover, both on-line and off-line analysis of data coming from such networks should be supported by efficient infrastructures for processing and storing data such as Clouds. This PhD project will conduct design, architecture development, analysis and development of applications for the management of processes and data in large-scale systems based on wearable sensors, optimization of sensor data streaming, and use of innovative Cloud-oriented paradigms. This work will be conducted in collaboration with Prof. Giancarlo Fortino from University of Calabria, Italy.

4. Dynamic and Scalable Replication for Content Delivery Networks

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Today’s Internet content providers primarily use Content Delivery Networks (CDNs) to deliver content to end-users with the aim to enhance their Web access experience . CDNs typically host third-party content including static content, streaming media, user-generated videos, and varying content services. With the rapid growth of Peer-to-Peer (P2P) techniques and the improvement of digital content production and retrieval tools, the CDN industry, i.e. content delivery, consumption and monetization, has been undergoing rapid changes. The multi-dimensional surge in content delivery from end-users has led to an explosion of dynamic (and uncachable) content, such as such as user-generated clips, VoD libraries, and IPTV services; new content formats as well as an exponential increase in the size and complexity of the digital content supply chain. The effectiveness of existing caching mechanisms is reduced due to this dynamic content, high frequency of content refresh, and

the presence of personal user information. It is further complicated by the convergence of Web 2.0 with user mobility that disrupts access locality due to user migration among edge nodes. Hence, innovative solutions integrating replication and caching are required for the management and delivery of the dynamic and personalized content. This PhD project will develop a novel suite of architecture, algorithms and practical tools to allow dynamic, scalable and efficient content replication and delivery mechanisms in CDNs.

5. Manipulating the Linked Open Data cloud

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Linked Data technologies have rapidly gained momentum in the last years as the primary means for publishing data on the Web. The uptake of Linked Data technologies has lead to the extension of the Web with a public Linked Data space containing more than 6.7 billion pieces of information, making it by far the largest source of multi-domain, real-world data currently in existence. This data space is increasingly being used for both research efforts and real-world applications. As a result of its explosive growth, several problems have emerged within the Linked Data space, including the lack of well documented tools for publishing, editing and consuming the data. Currently, when publishing Linked Data one needs to first define a webpage in HTML and then uses RDF to annotate the data with semantic concepts. If RDF is used to present data, one needs to find a way to bind the data to the presentation. This Phd project will extend an RDF based User Interface language that in a similar fashion to XForms separates the purpose (data publishing) of a Web application from its presentation. The student will investigate how this language can be used in combination with business process moedlling languages to develop user interfaces that can manipulate data in the linked open data cloud. The end user of these user interface should be unaware of the semantic Web language underlying this approach.

6. Distributed BPEL processes in the cloud

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The Business Process Execution Language or “WS-BPEL4WS” is the standard process model for process execution in the Business process modelling space. As more and more businesses deploy parts of their business processes in the cloud, traditional execution models of BPEL processes need to be changed. Instances of the same process might run on different machines in the cloud and even the location where the data resides for a given process instance might be unknown to the execution engine at run time. In this PhD project the student will investigate which parts of the BPEL model and its execution are affected when a process is deployed on multiple machines in the cloud and how to mitigate the issues by introducing language constructs and an execution modelled suited for distributed Cloud processes.

7. Social Network for services

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Human powered (aka crowd-sourcing) systems gave promising solutions to problems that were unsolved for years. Crowd sourcing is used in social networks that contain large datasets about people’s skills and work experience to match them with companies who are looking for a specific set of skills and expertise. Employers can directly address prospective candidates via the community (a “crowd”), through an open call. Crowd-sourcing leverages mass collaboration enabled by Web 2.0 technologies. An example of such a social network for experts is LinkedIn, which contains an immense knowledge base created by it’s users. However, for job providers it is not trivial to find the one expert that has the skills and expertise required and is also available. The goal of this PhD project is to radically leverage, and improve the utility of future Internet services by merging context-aware technologies, semantic analysis and advanced data modeling for the needs of workers, professionals and businesses. In contrast to LinkedIn, the project aims at pursuing a federated and decentralized social networking ecosystem provided that can be shared by professionals and companies. The project will push the state of the art in information and expertise management in social network by introducing a new social network paradigm that builds a Semantic Web-enabled “expertise-enabled” social networking infrastructure on top of a decentralized and federated Social Web architecture. That way, professional capabilities and profile information will be modeled using Semantic Web technologies and Linked Data principles, enabling interoperability with other professional applications inside and outside the enterprise. Instead of the existing “friend” and “acquaintance” model, the project aims to provide “expertise-centered” social networks. In particular, the social network layer proposed will be suitable for: federated deployment, across existing silos, and effective social information processing and discovery, both by professionals or end users.

 ICT 2014 Research Topics Some of these activities and research programs are identified in the ICT-LEIT part of the work programme of Horizon 2020: The EU Framework Programme for Research and Innovation. Detail information on ICT Master’s, Doctoral and Independent research available on  http://ec.europa.eu/research/participants/data/ref/h2020/wp/2014_2015/main/h2020-wp1415-leit-ict_en.pdf

• A new generation of components and systems
• Advanced Computing
• Future Internet
• Content technologies and information management
• Micro- and nano-electronic technologies, Photonics
• De-verticalising technology solutions with CPS platforms that cut across the barriers between application sectors including mass consumer markets.
•  Bringing together actors along the value chain from suppliers of components and customised computing systems to system integrators and end users.
• Creating new ICT Platforms for both vertical and core markets from automotive, health , smart buildings and energy to wireless communications and digital consumer products and services.

ICT 2 –   2014: Smart System Integration     S pecific Challenge : The aims are to develop the next generations2  of smart systems technologies and solutions, based on systemic miniaturisation and integration, of heterogeneous technologies, functions and materials, and to establish European competitive ecosystems for the design, R&D, prototyping and testing, manufacturing and industrialisation of  smaller,  smarter  (predictive,  reactive  and  cognitive)  and  energy  autonomous  Smart Systems. These ecosystems will provide services for cost efficient access to European manufacturing capabilities and expertise, including training, design and pilot line production and testing, in particular for new users of Smart Systems. This specific challenge contributes to the strategy of micro and nano electronics KET in the area of More than Moore and complements the activities of topic ICT25.     S c ope : The focus is on: a.   Research & Innovation Actions for one or both of the following:

• To  advance  the  state  of  the  art  of   heterogeneous  integration  of  micro  and nanotechnologies (nanoelectronics, micro- electro-mechanic, magnetic, photonic, micro-fluidic, electrochemical, acoustic, bio/chemical principles and microwave technologies) into smart systems.

Work will be driven by industrial requirements and specifically target multi- disciplinary R&D in the following areas: –    Miniaturised   systems   based   on   high   density   3-dimensional   heterogeneous integration. –    Autonomous deployable smart systems that include efficient energy management (Zero  Power  technologies)  and  energy  harvesting  from  their  operating environment, –    Advanced  Smart  systems  with  multi-functional  properties,  including  sensing, storing, processing, actuation and ultra-wideband communication. Actions may address performance, design and testing, but the focus will be on the integration into systems, including manufacturability and packaging.  

•  A Predictive modeling by multilevel networks of wearable sensors and cell phone data
• Data distillation from Social Big Data stream
• Advanced SMT Techniques for Word-level Formal Verification – (WOLF)
•  Remote sensing techniques for digital Earth applications

From  http://ict.unitn.it/application/project_specific_grants#cstv5   You might be interested in ICT Doctoral (PhD) Research Topics from UniMore at http://www.ict.unimore.it/index.php/for-students/research-topics Finding (useful) research on ICT use in education in developing countries ~ A World Bank Blog on ICT use in Education http:/blogs.worldbank.org/edutech/finding-useful-research-on-ict-use-education-in-developing-countries

ICT Topics for Research and Thesis

With times changing constantly with the advancements in ICT and others, I’m going to summarize few wider domain that could be of interest to you:

• E-Health Technology and Applications
• Identity and Access Management
• Advanced Network Technology, Security and Management (IPv4 and IPv6)
• Internet Backbone and Optical Technology
• Futuristic and Green Network
• High Performance Computing Technology and Applications
• Grid and Cloud Infrastructure, Technology and Applications
• Big Data Technology and Applications
• E-Culture and Cyber Networked Performance
• Disaster Mitigation
• Climate Service Applications
• Social science with Internet
• Agriculture with network

20 thoughts on “Thesis Topics for Master's and PhD in Information & Communication Technologies (ICT)”

Thanks for these inspiring thoughts and topics – I’m always looking for nee topic to write about, not only for a master thesis. My first best inspiring source always was and still is GRIN’s archive here: http://www.grin.com/en/catalog – hope it helps you on as well, as it helped me in the past a thousand times. I also publish with them… but that will be the next step 😉 All the best and hope to read a lot final results soon.

We are going to extend the list of possible thesis/dissertation topics and areas, suggest your scope or area of interests.

I am searching some hot topics for research in Wireless Communication related to GSM Technology.

I hv very much interest in distributed computing/processing and parallel processing as well, so if u can suggest more on it then plz….

i want to do my disertation in wireless sensor networks. please tell me suitable topic in wireless sensor network.

i looking for Master thesis in IT SAP …could you suggest some topics

Hallo, I am looking for master thesis topics in IT project management

Looking for a Master Thesis in the filed of wireless communication/Telecommunication/Networking domain

Thanks Sir….Looking for Thesis topic Related to Cloud and Big Data

Hello friend, Could you suggest me anything about Telecomunication for Master Thesis?

please Sir Can you suggest topics for MSC project in computer security .

Please sir i am interested on "social networks for services" i will like to use it as my desertation topic, can i get your assistance on this?

well addressed sir. Iam looking for master thesis related to communications and information systems. please suggest any.

I would like to write my master degree dissertation on the application of wireless sensor network in curbing pipeline vandalism through remote surveillance, monitoring and alert systems.

I am looking for topics in online or elearning

I am searching for the dissertation work for MPhil in ICT in database or network

Hi. help me to find a idea on PhD project in the E-health technology and applications

Hi sir , please help me with masters thesis on how ict has improved the courtroom and even the law office

I need innovative title for ict in education for mphil

hi sir please help me with master thesis to how to selected topic on semantic web and Machine learning and also Big data analytic

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