Michael M. Zavlanos received the Diploma in mechanical engineering from the National Technical University of Athens (NTUA), Athens, Greece, in 2002, and the M.S.E. and Ph.D. degrees in electrical and systems engineering from the University of Pennsylvania, Philadelphia, PA, in 2005 and 2008, respectively.
He is currently the Yoh Family Associate Professor of the Department of Mechanical Engineering and Materials Science at Duke University, Durham, NC. He also holds a secondary appointment in the Department of Electrical and Computer Engineering and the Department of Computer Science. His research focuses on control theory, optimization, and learning and AI with applications in robotics and autonomous systems, cyber-physical systems, and healthcare/medicine. He is a recipient of various awards including the 2014 Office of Naval Research Young Investigator Program (YIP) Award and the 2011 National Science Foundation Faculty Early Career Development (CAREER) Award.
Aug. 2021. Michael M. Zavlanos joins Amazon Robotics as an Amazon Scholar on sabbatical leave from Duke University.
Jun 2021. New preprint on learning optimal policies in continuous space from demonstrator data with hidden contextual information.
Jun 2021. New preprint on learning neural network controllers with closed-loop safety guarantees.