M
Michael Zavlanos, Ph.D.
Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
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Research Interests
Control Theory, Optimization, and Learning; in Particular, Robotics and Autonomous Systems, Networked and Distributed Control Systems, and Cyber-Physical Systems.
Software-Defined Networks and 5G
Advanced Multi-Objective Optimization Algorithms
Machine Learning in Materials Science
Privacy-Preserving Technologies in Data
Advanced Graph Neural Networks
Academic Metrics
Links
Grants
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