Speakers

Thomas Beckers

Thomas Beckers is an Assistant Professor of Computer Science and the Institute for Software Integrated Systems at Vanderbilt University. Before joining Vanderbilt, he was a postdoctoral researcher at the Department of Electrical and Systems Engineering, University of Pennsylvania, where he was member of the GRASP Lab, PRECISE Center and ASSET Center. In 2020, he earned his doctorate in Electrical Engineering at the Technical University of Munich (TUM), Germany. He received the B.Sc. and M.Sc. degree in Electrical Engineering in 2010 and 2013, respectively, from the Technical University of Braunschweig, Germany. In 2018, he was a visiting researcher at the University of California, Berkeley.

He is a DAAD AInet fellow and was awarded with the Rhode & Schwarz Outstanding Dissertation prize. His research interests include physics-enhanced learning, nonparametric models, and safe learning-based control. [Website]

Ján Drgoňa

Jan is an associate professor in the Department of Civil and Systems Engineering and the Ralph S. O’Connor Sustainable Energy Institute (ROSEI) at Johns Hopkins University (JHU). Before joining JHU, Jan was a senior data scientist in the Physics and Computational Sciences Division at Pacific Northwest National Laboratory and a postdoc at the mechanical engineering department at KU Leuven in Belgium. Jan has a PhD in Control Engineering from the Slovak University of Technology in Bratislava, Slovakia. His current research is focused on scientific machine learning with applications in sustainable energy systems. [Website]

Truong X. Nghiem

Truong X. Nghiem is an associate professor in the Department of Electrical and Computer Engineering at the University of Central Florida, with joint appointments in the Department of Computer Science and the School of Modeling, Simulation and Training. Previously, he was an assistant professor at Northern Arizona University from 2018 to 2024. He received his doctoral degree in electrical and systems engineering from the University of Pennsylvania, where he was a member of the GRASP Lab. He received the NSF CAREER Award in 2023, the NSF ERI Award in 2022, and the Best Paper Award from the ACM/IEEE International Conference on Cyber-Physical Systems in 2018. His research interests include the integration of control, optimization, machine learning and computation to address cyber-physical system challenges across various domains. His research laboratory, the intelligent Cyber-Physical Systems (iCPS) Lab, focuses on developing the scientific and engineering foundations of intelligent cyber-physical systems, with applications such as digital twins, smart buildings & energy systems, autonomous vehicles and robotics. [Website]

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