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Lars Lindemann is an Assistant Professor at the Automatic Control Laboratory at ETH Zürich, where he leads the Algorithmic Systems Theory (AST) Laboratory. He obtained his Ph.D. in Electrical Engineering from KTH Royal Institute of Technology in 2020. Prior to that, he completed his M.Sc. in Systems, Control, and Robotics at KTH in 2016, and a B.Sc. in Electrical Information Engineering and Engineering Management from Christian-Albrecht University of Kiel in 2014. His research interests focus on systems control theory, formal methods, and applications of machine learning in autonomous systems and robotics. Lindemann has made significant contributions to developing theoretical frameworks for the efficient and safe use of data and decision-making in uncertainty within learning-enabled autonomous systems. His work emphasizes the need for new theoretical computational frameworks to address challenges arising from the increasing complexity of integrating data and formal specifications in human-in-the-loop systems. His current research agenda includes topics such as risk-aware decision-making, distributed verification of control in uncertain multi-agent systems, and formal statistical verification. Lindemann has received several accolades, including the Outstanding Student Paper Award at the 58th IEEE Conference on Decision and Control and was a finalist for the Paper Award at the 2024 International Conference on Cyber-Physical Systems.
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