Data Driven Learning and Control seminar series is organized by the Information and Decision Science Lab at Cornell University and aims to explore the latest advancements and interdisciplinary approaches to data-driven learning and control systems.
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Bio: Evangelos Theodorou earned his diploma in electronic and computer engineering from the Technical University of Crete (TUC), Greece in 2001. He has also received a M.Sc. in production engineering from TUC in 2003, a M.Sc. in computer science and engineering from University of Minnesota in spring of 2007, and a M.Sc. in electrical engineering on dynamics and controls from the University of Southern California in spring 2010. In May of 2011, he graduated with his Ph.D., in computer science at USC. After his Ph.D., he became a postdoctoral research associate with the department of computer science and engineering at the University of Washington in Seattle. In July 2014 he joined the faculty of the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology as an assistant professor. His theoretical research spans the areas of control theory, machine learning, information theory and statistical physics. Applications involve autonomous planning and control in robotics and aerospace systems, bio-inspired control and design.