Machine Learning and Control Theory Researcher
Paul Brunzema serves as a Research Assistant and PhD candidate at the Institute for Data Science in Mechanical Engineering (DSME) at RWTH Aachen University bringing expertise in automation and control systems His academic credentials include a BSc in Mechanical Engineering and an MSc in Automation Engineering from RWTH Aachen University where his outstanding master thesis earned him the prestigious SEW-EURODRIVE student award Under the supervision of Prof Sebastian Trimpe his doctoral research focuses on the intersection of control theory and machine learning with particular emphasis on reinforcement learning and optimal control His work explores innovative approaches to combining traditional control methods with modern machine learning techniques contributing to the advancement of autonomous systems His research interests span theoretical foundations of control systems practical applications in automation and the integration of machine learning in control engineering making him a promising contributor to the field of intelligent control systems.