PHD THESIS TOPICS BY YEAR OF ENROLLMENT
Academic Year 2022–2023
| Name, Surname | Subject | Supervisor(s) | Co-supervisor(s) |
|---|---|---|---|
| Agresa Qosja |
Forecasting power generation and distribution by intelligent machine learning optimization methods Phd in cotutelle between Université Grenoble Alpes (UGA) and UMT |
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| Evis Plaku | Enhancing autonomy of mobile robots operating in complex environments |
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| Anxhelo Shehu | Breast cancer early detection in mammographies |
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Academic Year 2023–2024
| Name, Surname | Subject | Supervisor(s) | Co-supervisor(s) |
|---|---|---|---|
| Kleida Mati | Predicting neoadjuvant treatment response in breast cancer: An AI-driven analysis of comprehensive diagnostic data |
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| Enes Stastoli |
System design for complex imaging analysis of ultrasound, Phd in cotutelle between University of Craiova (UC) Romania and UMT |
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| Oriod Malo | Processing of medical imaging using AI algorithms |
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| Kledia Tirana | Applying artificial intelligence to create cost effective surveillance systems |
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| Mehmet Zirek | Integration of artificial intelligence in the context of university-based business incubation |
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Academic Year 2024–2025
| Name, Surname | Subject | Supervisor(s) | Co-supervisor(s) |
|---|---|---|---|
| Johan Note | The application of AI to enhance the security of the physical layer of 6G |
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| Suada Peçi | Investigating the ethical implications and consumer behaviour in AI-powered digital marketing |
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| Olsi Miraçi | Integrating sensors and artificial intelligence for advanced environmental analysis: Monitoring and forecasting air quality |
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