Matthew Hale received his BSE summa cum laude from the University of Pennsylvania and received his MS and PhD from Georgia Tech. His work is driven by designing and analyzing multi-agent coordination algorithms that function well under challenging conditions, such as asynchronous information sharing, noisy communications, and user privacy requirements. His work deploys these algorithms on teams of flying and ground robots, providing both validation of the underlying theory and further research directions. He was named the MAE Department’s Teacher of the Year for 2018-2019 and received an NSF CAREER Award in 2020.

Education

Ph.D., 2017, Georgia Institute of Technology

Professional Memberships and Fellowships

American Institute of Aeronautics and Astronautics, Member
The American Society of Mechanical Engineers, Member
Institute of Electrical and Electronics Engineers, Member
Sigma Xi, Member

Teaching Interests

Network control systems, Optimal control, Classical control

Research Interests

Multi-agent learning and control, Privacy, Optimization, Robotics