Alexander Studt
Karlsruhe Institute of Technology (KIT)
Campus Süd
Institute of Telematics
Chair for Pervasive Computing Systems / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe
Germany
Building 07.07, Room 204
email: studt(at)teco.edu
SHORT CV
- Since 2022 Research associate / Ph.D. candidate in Computer Science at TECO
- 2022 Master’s Degree in Artificial Intelligence and Deep Learning from the University of Alcalá
- 2020 Master’s Degree in Theoretical and Mathematical Physics from LMU/TUM
- 2016 Bachelor’s Degree in Physics from the University of Bremen
PROJECTS
- ML4Print
- ARCTUS (EUHUBS4DATA)
RESEARCH INTERESTS
- Reinforcement Learning
- Optimization Techniques
- Computer Vision
OPEN THESES
- Master Thesis: Development of an Adaptive AI for Cooperative Problem-Solving in the Context of the Card Game Bridge
- Bachelor/Master Thesis: Applications of Modified Stiefel Manifold Restricted Neural Networks
- Bachelor/Master Thesis: Rule Reduction for Complex Systems like Programming Languages