Available Master topics: Software Engineering

Develop and evaluate data-driven techniques and prototypes for automatically analyzing developer sentiment in commit message or code comments, and investigating if and how developer sentiment impacts software fault-proneness or software maintainability.
Investigate, develop and evaluate data-driven techniques and prototypes that help software engineers build software systems that are autonomously self-healing. These are systems that can understand when they are not operating correctly and, without human intervention, make the necessary adjustments to restore themselves to normal operation.
Survey the literature, techniques, tools, and tactics employed by competitors in DARPA's Cyber Grand Challenge, and use selected techniques, tools, and tactics to develop and evaluate a prototype autonomous secure and resilient system.
Develop and evaluate data-driven techniques and prototypes for detecting API misuse based on deviations from frequent usage patterns in large corpora of source code.
Develop and evaluate data-driven techniques and prototypes for mining API usage specifications from large corpora of source code.
Develop and evaluate data-driven techniques and prototypes for automatically assessing the security of a software system by analyzing the system's source code for potential security vulnerabilities during the development stage.
This project aims to develop a low-cost solution, based on deep learning of oxygen saturation data, to predict obstructive sleep apnea.
The project aims to develop a deep learning model to predict respiratory flow from the nose and mouth based on ribcage expansion and contraction.
This project involves developing new methods to design, develop, and test NASA JPL's Open Source Rover, which is a scaled-down version of real Mars Rover used on Mars.
This topic is about developing digital twins for cyber-physical systems.
Develop an explainable AI framework to predict obstructive sleep apnea
The project will aim to accurately predict obstructive sleep apnea from measurements of abdominal breathing
This thesis topic focuses on the methods to develop and test quantum programs.