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)
• MangoTune

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