Kenneth Regan, Associate Professor in the Department of Computer Science and Engineering at UB and an avid chess player, is known for his predictive analytic models in the world of chess. His algorithms utilize tens of thousands of chess game datasets, along with the high-performance computing resources from the Center for Computational Research, to help determine if a chess opponent is making moves like a human or more like a computer.
