Recipient of the Office of Naval Research Young Investigator Program (YIP) Award and the National Science Foundation Faculty Early Career Development (CAREER) Award. Recent achievements include a NeurIPS paper accepted on a new Distributionally Robust Optimization (DRO) framework that employs a new distance metric inspired by unbalanced optimal transport for enhanced outlier and missing data resilience.
Research Experience
Serves as a professor at Duke University's Department of Mechanical Engineering and Materials Science, with additional roles in the Departments of Electrical and Computer Engineering and Computer Science. Leads the Healthcare Systems Optimization program within Duke AI Health and works as an Amazon Scholar for Amazon Robotics.
Education
Received the Diploma in mechanical engineering from the National Technical University of Athens (NTUA) in Greece in 2002, and the M.S.E. and Ph.D. degrees in electrical and systems engineering from the University of Pennsylvania in 2005 and 2008, respectively.
Background
Yoh Family Professor in the Department of Mechanical Engineering and Materials Science at Duke University, with secondary appointments in the Departments of Electrical and Computer Engineering and Computer Science. Serves as Director of the Healthcare Systems Optimization program with Duke AI Health and is an Amazon Scholar with Amazon Robotics. His research focuses on control theory, optimization, machine learning, and AI with applications in robotics and autonomous systems, cyber-physical systems, and healthcare/medicine.