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Michael M. Zavlanos's research focuses on control theory, optimization, learning, artificial intelligence, particularly in autonomous systems and robotics, networked distributed control systems, and cyber-physical systems. He has significantly contributed to the understanding of these domains through various publications and projects. His work emphasizes new methodologies for improving system coordination and robustness, exploring theoretical aspects while also addressing practical applications. His expertise in these fields is recognized nationally and internationally, and he actively engages in advancing the state of the art in system control. He has been awarded several prestigious grants including the Young Investigator Program Award from the Office of Naval Research and has been involved with the National Science Foundation’s Faculty Early Career Development Program in consecutive years.
Department of Mechanical Engineering and Materials Science, Duke University • Durham, NC
Professor in the Department of Mechanical Engineering and Materials Science focusing on control systems, learning processes, and networking.
Department of Biomedical Engineering (MS program)