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Sean Luke is the head of the Â鶹ÊÓƵ Autonomous Robotics Laboratory. Luke has taught at Â鶹ÊÓƵ since 2000. His areas of interest and expertise include stochastic optimization and metaheuristics, evolutionary computation, multi-agent systems and multi-agent learning, autonomous robotics and robot swarms, and simulation development. He is the author of Essentials of Metaheuristics, and of several very widely used open-source software packages, including the MASON multi-agent simulator and the ECJ evolutionary computation toolkit.

Research

2013 - 2016 : NRI: Small: Online Training of Hierarchical Multirobot Teams. Funded by the National Science Foundation.

2013 - 2014: NSF Supplement Request (RI: Small: Cooperative Coevolutionary Design and Multiagent Systems). Funded by the National Science Foundation.

2012 - 2013 : CI-P: Workshop on Enhancing a Large-scale Multiagent Simulation Tool. Funded by the National Science Foundation.

Degrees

• PhD, Computer Science, University of Maryland, College Park