Sascha Safenreider
Biography
Sascha is a Doctoral Candidate specializing in High-Performance Computing (HPC), Artificial Intelligence (AI), and Education. With an educational background, Sascha is embarking on a research journey to explore the intersection of advanced computational techniques and educational methodologies. The goal is to contribute to the development of innovative solutions that enhance learning experiences and outcomes.
Research Interests
- IoT
- Machine Learning
- Education
Teaching
Summer Term 2028
Autumn Term 2027
Summer Term 2027
Autumn Term 2026
Summer Term 2026
Autumn Term 2025
Summer Term 2025
Open Thesis Topics
Structured Literature Review on AI in Clinical EnvironmentsApply
The thesis explores how AI is currently applied in clinical contexts, offering an overview of opportunities and challenges. It also considers legal and ethical aspects that may influence the use of AI in clinical environments.
Structured Literature Review on Assessment SimulationsApply
This thesis provides a structured review of assessment simulations, which are interactive scenarios designed to evaluate knowledge and skills under realistic conditions. It examines how such simulations are applied in educational and professional settings, with a focus on their role in preparing learners for examinations and certifications. The review discusses strengths such as authenticity and enhanced engagement, as well as challenges related to design complexity, fairness, and accessibility.
All publications as BibTex