Matthew Hale is an Associate Professor of Electrical and Computer Engineering at Georgia Tech. He received his BSE from the University of Pennsylvania in 2012 and received his PhD from Georgia Tech in 2017. His research is broadly in the areas of control and optimization, with a strong emphasis on multi-agent systems and applications to robotics. His long-term goal is to develop new theoretical tools that solve fundamental, practical problems in multi-agent systems and to enable safe, reliable, and efficient operation of multi-agent systems across a wide spectrum of applications.
- Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology, 2017
- M.S., Electrical and Computer Engineering, Georgia Institute of Technology, 2015
- B.S.E., Electrical Engineering, University of Pennsylvania, 2012
Hale's research interests focus on networked control systems, cooperative robotics, and distributed coordination of autonomous agents. His work addresses challenges in communication-constrained control, stability, and robustness in interconnected systems, leveraging mathematical modeling and algorithm development. The research promotes the integration of control theory with real-world applications in emerging technologies, facilitating advances in the reliability and efficiency of multi-agent and cyber-physical systems.
Hale's teaching interests include fundamental and advanced topics in electrical and computer engineering at both undergraduate and graduate levels. He emphasizes core areas such as control systems, robotics, and autonomous systems, providing students with rigorous theoretical foundations and practical applications. His instruction aims to develop critical thinking and problem-solving skills, preparing students for research and professional practice within dynamic and interdisciplinary engineering environments.
- Air Force Office of Scientific Research YIP, 2023
- Office of Naval Research YIP, 2022
- Air Force Research Laboratory Summer Faculty Fellow, 2020
- NSF CAREER Award, 2019
- G Behrendt, ZI Bell, M Hale, Distributed Asynchronous Time-Varying Quadratic Programming With Asynchronous Objective Sampling, IEEE Transactions on Automatic Control, 2026
- JS Kartzman, BD Robinson, MT Hale, Online Quickest Change Detection for Multiple Gaussian Sequences Using Multi-Armed Bandits, ACM SIGMETRICS Performance Evaluation Review 53(2), 57–62, 2025
- H Rao, C Hawkins, A Benvenuti, M Hale, Generating Differentially Private Networks with a Modified Erdős-Rényi Model, arXiv:2509.25431, 2025
- Y Zhao, T Hanks, H Riess, S Cohen, M Hale, J Fairbanks, Asynchronous Nonlinear Sheaf Diffusion for Multi-Agent Coordination, arXiv:2510.00270, 2025
- B She, M Hale, A Dissipativity Approach to Analyzing Composite Spreading Networks, IEEE Transactions on Control of Network Systems, 2025