Martin Keller

Prof. Dr.-Ing. Martin Keller is a Professor of Control Engineering at the Department of Electrical Engineering & Information Technology, South Westphalia University of Applied Sciences in Hagen, Germany. He leads research in advanced control systems with a specialization in automotive applications and automated driving technologies. His academic leadership includes directing the Laboratory for Control Engineering where practical courses, project work, and research activities are conducted.

• Education: Diploma in Electrical Engineering from TU Dortmund (2011), PhD in Control Systems Engineering from TU Dortmund (2017)
• Professional Experience: Algorithm Development Engineer (2017-2019) and Team Lead (2019-2022) at ZF Group before transitioning to academia
• Teaching Responsibilities: Courses in Control Engineering 1/2, Medical Control Systems, and Advanced Control Systems

Professor Keller's research centers on automated driving systems with emphasis on trajectory planning, collision avoidance, and vehicle guidance algorithms. His work bridges theoretical control concepts with practical automotive implementations, particularly focusing on model predictive control frameworks for real-time applications. The research group develops algorithms for maneuver decision-making, trajectory planning, and tracking control essential for autonomous vehicle functions.

Analysis of his 15 most recent publications reveals strong concentration in automated driving control systems, with 80% of works published between 2018-2021 focusing on trajectory optimization, collision avoidance, and model predictive control applications. Key research themes include sampling-based planning methods, environment modeling for optimization, and real-time capable control architectures for lateral vehicle guidance.

His scientific contributions appear primarily in IEEE conferences and automotive engineering journals, with notable publications in IEEE Transactions on Intelligent Vehicles and IEEE Intelligent Transportation Systems Conference proceedings. While no specific awards are listed in the provided materials, his consistent publication record in top-tier venues demonstrates significant scholarly impact.

Professor Keller actively supervises project work and final theses through the Control Engineering Laboratory, where students engage in hands-on development of control systems. His industry experience at ZF Group informs practical research directions focused on implementable solutions for automotive applications. The laboratory facilities at Haldener Str. 182 serve as the operational base for both teaching and research activities.