Prof. Dr. Thomas Gabel

Professor for Computer Science and Mathematics with special focus on machine learning and artificial intelligence.

R&D in the field of air traffic and arrival management. Focus on research and development of intelligent software for planning and scheduling to support arrival management as well as in research projects in the context of the European SESAR initiative.

Research and teaching in machine learning and knowledge management. Special focus on learning in autonomous systems and multi-agent systems as well as on reinforcement learning and case-based reasoning. Apprlications: simulated autonomous robots (robotic soccer, RoboCup), scheduling

Team leader and project manager for the robotic soccer simulation team Brainstormers, which is a team of intelligent software agents participating in the soccer simulation league of RoboCup. While heading this team, the Brainstormers achieved three world-champion and six European-level champion titles in robotic soccer.

Research in the field of machine learning in multi-agent systems as well as in the areas of reinforcement learning and case-based reasoning. Applications: simulated autonomous robots (robotic soccer / RoboCup), scheduling

Working student (Werkstudent) in the System Automization department

Reinforcement learning in cooperative multi-agent systems with application focus on job-shop scheduling

Artificial Intelligence, Autonomous Robotic Systems, Data Mining

Machine Learning, Artificial Intelligence, Knowledge Management, Case-Based Reasoning