Rate My Professor Brian Powers

Powers' research interests encompass the intersection of statistical methods, stochastic models, games, and issues of law and justice, including agent-based modeling, machine learning, social networks, and graph theory. His key publications include "An analysis of dual-issue final-offer arbitration" published in the International Journal of Game Theory (2018), "Dual-issue final-offer arbitration: Invariance of pure optimal strategies under Lp metrics" in the International Game Theory Review (2019), "Anti-coordination games and stable graph colorings" in Algorithmic Game Theory proceedings (2013, with Jeremy Kun and Lev Reyzin), and "Training-time optimization of a budgeted booster" in the Proceedings of the 24th International Joint Conference on Artificial Intelligence (2015, with Yi Huang and Lev Reyzin). He has presented extensively on topics including multivariate final-offer arbitration, N-player final-offer arbitration, fisheries modeling, and statistical web tools at venues such as the Joint Mathematics Meetings, International Conference on Game Theory, Gulf of Mexico Oil Spill & Ecosystem Science Conference, and Joint Statistical Meetings. Powers maintains broad teaching experience across institutions, including applied statistics and quantitative methods courses at Arizona State University, Southern New Hampshire University, University of Illinois at Chicago, Grand Canyon University, and others, as well as private tutoring. He contributes to ecological agent-based models with the Ocean Conservancy.