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AboutWe develop data-driven control methods that push precision machines to their physical limits. My team and I perform application-driven fundamental research at the intersection of system identification, control theory, and machine learning to learn models and controllers for complex dynamical systems directly from data, providing the robustness guarantees required in high-tech applications. Based in the high-tech ecosystem of Eindhoven, we tackle challenges occurring in advanced motion control for precision mechatronic systems. We collaborate closely with industry and research partners on applications ranging from semiconductor manufacturing equipment and precision printing systems to space and astronomical instrumentation. Beyond precision engineering, we work with domain experts to explore new applications of data-driven control in health, energy, and mobility. More information: BioTom Oomen is a full professor in the Department of Mechanical Engineering at Eindhoven University of Technology, The Netherlands. He previously held academic positions at KTH Royal Institute of Technology (Sweden), the University of Newcastle (Australia), and Delft University of Technology. He received his Ph.D. degree and M.Sc. degree (cum laude) from Eindhoven University of Technology. He is the recipient of several awards, including the 7th Grand Nagamori Award, the Corus Young Talent Graduation Award, and NWO Veni and Vidi personal grants, and currently serves as Senior Editor of IEEE Control Systems Letters (L-CSS) and Co-Editor-in-Chief of IFAC Mechatronics. His research focuses on data-driven control of complex dynamical systems, at the intersection of system identification, learning, and control theory, with applications in precision mechatronics, advanced motion control, semiconductor manufacturing, precision printing systems, space instrumentation, and emerging domains such as health, energy, and mobility. ContactTel: +31 40 247 8332 |