Kagan Tumer

Professor (Adjunct)
Mechanical Engineering
Education: 

PhD, Electrical and Computer Engineering, The University of Texas at Austin, 1996
MS, Electrical and Computer Engineering, The University of Texas at Austin, 1992
BS, Electrical and Computer Engineering, George Mason University, 1989

Research group: 
Research Interests: 

Dr. Tumer’s research focuses on learning, optimization and control in large complex systems; learning and coordination in multiagent systems; distributed reinforcement learning; and evolutionary algorithms for control and optimization. Applications of this work include multi-robot coordination, mobile robot navigation, distributed sensor coordination, air traffic management, wave energy converter optimization, transportation systems, and intelligent energy management.