Cyber-physical systems

This week, at Smart Talks with UTU, we had Assist. Prof. Dominik Baumann (Aalto University) as invited speaker and he talked about his research on learning and control for cyber-physical systems.

Realizing future engineering systems, such as in smart manufacturing or autonomous driving, requires frameworks and algorithms that combine control theory, communication, and machine learning. In this context, he provided an overview of his research, which aims at the intersection of these three areas, presenting both theoretical results and experiments on real hardware.

Dominik Baumann is an Assistant Professor at the Department of Electrical Engineering and Automation at Aalto University. His research focuses on the interplay of systems and control theory with machine learning and communication networks. He received his diploma in electrical engineering from TU Dresden, Germany, and his PhD from the Max Planck Institute for Intelligent Systems, Germany, in collaboration with KTH Stockholm, Sweden. Before joining Aalto, he held research positions at RWTH Aachen University, Germany, and Uppsala University, Sweden.

Smart Talks with UTU

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More informations at Smart Talks with UTU.