Michael M. Zavlanos is the Yoh Family 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. Currently, he is also an Amazon Scholar with Amazon Robotics, North Reading, MA. 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.
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.
Sep 2023. New preprint on network preference dynamics using lattice theory.
Sep 2023. New preprint on learning transferrable robot policies using policy stitching.
Sep 2023. New preprint on distributionally robust policy evaluation and learning.
Mar 2022. Michael M. Zavlanos is promoted to Professor of Mechanical Engineering and Materials Science at Duke University.