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SUMMARY:Talk of Dr. Konstantinos Gatsis 
DESCRIPTION:Dr. Konstantinos Gatsis\nSchool of Electronics and Computer Science\nUniversity of Southampton\nSouthampton, England\n\n  \nTuesday 2024-06-25 4 p.m.\nIST Seminar Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen  \nAbstract\nThe automation of processes in industry and our cities holds a significant economic promise. The\ndevelopments in autonomous systems are growing as a result and target complex environments ranging\nfrom warehouses to autonomous driving. To deal with this complexity there is a lot of interest in\nusing machine learning technology in autonomous systems. But recent advances in machine learning\nhave been driven by models represented by (artificial) neural networks and integrating them with\nautonomous systems is a difficult task on its own. In this talk, I will discuss recent research in\nmy group, exploring the interface between control systems theory and neural networks.  I will\ndiscuss the tool of Neural Ordinary Differential Equations (NODEs), that lies in this interface,\nand I will present two projects, first on the use of NODEs in control systems, and second on the\ncomputational efficiency of NODEs.  \nBiographical Information\nDr. Konstantinos Gatsis is a Lecturer (Assistant Professor) in the School of Electronics and\nComputer Science at the University of Southampton, UK and a Visiting Academic in the Department of\nEngineering Science at the University of Oxford, UK.  He received the Ph.D. degree in\nelectrical and systems engineering from the University of Pennsylvania, Philadelphia in 2016, and\nthe Diploma degree in electrical and computer engineering from the University of Patras, Patras,\nGreece in 2010. His research interests include cyber-physical systems and autonomy, developing\nalgorithms at the intersection of control, learning, security, and optimization. Dr. Gatsis\nreceived the Best Doctoral Dissertation Award from the department of Electrical and Systems\nEngineering at the University of Pennsylvania, the 2023 IEEE Communications Society &\nInformation Theory Society Joint Paper Award, the 2014 O. Hugo Schuck Best Paper Award, the Student\nBest Paper Award at the 2013 American Control Conference, and has been nominated for other best\npaper awards.\n\n\n\n 
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20240625
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Dr.-Konstantinos-Gatsis/
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