Offered Projects
Rethinking Reviews: The Power and Pitfalls of LLMs in Systematic Literature Reviews
The objective of this Bachelor/Master project is to explore the potential and challenges of using large language models (LLMs) in the systematic literature review (SLR) process. Currently, LLMs are employed to facilitate the SLR process; however, there is a lack of a systematic approach to identify potential sources of error. This project addresses this issue by comparing the results of SLRs performed by humans and with the aid of LLM tools.
Learn more about this student project and how to apply:
Rethinking Reviews: The Power and Pitfalls of LLMs in Systematic Literature Reviews
Contact Person: Cosima v. Uechtritz
From Rhythm to Research: A Design Science Project to Detect Flow States in Musicians
Musicians describe the flow state as a desirable state of optimal experience and enhanced performance. Similar to the tracking of sports activities and habits, a flow-state detection system could improve progress tracking and overall performance of musicians. The objective of this Bachelor/Master project is to lay the foundation for a flow-state detection system in musicians.
Learn more about this student project and how to apply:
From Rhythm to Research: A Design Science Project to Detect Flow States in Musicians
Contact Person: Cosima v. Uechtritz
Developing an App to Optimize Learning Strategies for Students
Technologies that suggest personalized learning strategies, based on users’ flow states and context-related information (e.g., time of the day or study location), have the potential to reduce students’ mental workload and improve performance. The objective of this specific Bachelor/Master project is to lay the foundation for such a system. This includes identifying the app's requirements and functionalities, designing its architecture, and first implementations of selected features.
Learn more about this student project and how to apply:
Developing an App to Optimize Learning Strategies for Students
Contact Person: Cosima v. Uechtritz
ProtoXAI - Can AI tell advertisements apart and how?
The objective of this project for Bachelor or Master students is to lay the foundation for a deep learning based decision support system utilizing explainable artificial intelligence methods like prototype-based approaches. So far, prototype-based methods have mostly been used on data sets with clearly distinguishable objects like birds and cars. However, there are images in advertising data sets - such as those produced by Hussain et al. (2017) - that are more diverse and represent more abstract concepts, making classification and explanation efforts both more difficult and more insightful. In this project, students have the opportunity to cooperate closely with the chair team, pursue individual solutions, and apply explainable machine learning techniques.
Learn more about this student project and how to apply:
ProtoXAI - Can AI tell advertisements apart and how?
Contact Person: Luca Gemballa
From Pixels to Physiology: Real-Time Algorithm Development for Telemedical Applications
Due to the decreasing number of hospitals in Germany, the need for telemedical solutions is growing to ensure comprehensive healthcare coverage. Among different approaches, remote measurement of vital signs, such as heart rate and oxygen saturation, via remote photoplethysmography (rPPG) algorithms is emerging as a promising solution. The objective of this Bachelor/Master project is to lay the foundation for a real-time rPPG algorithm using machine learning methods such as face detection and region of interest selection.
Learn more about this student project and how to apply:
From Pixels to Physiology: Real-Time Algorithm Development for Telemedical Applications
Contact Person: Cosima v. Uechtritz