Brian Powers
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Mail code: 2780Campus: Poly
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Brian Powers received two B.A.s in Mathematics and Computer Science from Tufts University (2003) and his M.S. in Financial Mathematics from Fairfield University (2007). He defended his thesis "An Analysis of Multi-Variate Final-Offer Arbitration" in the summer of 2016, earning his Ph.D. in Mathematics from the University of Illinois at Chicago. After a 3 year postdoc appointment here at ASU working on agent-based modeling of fisheries, he is now an instructor of mathematics. He is interested in cooperative games, graph games, stochastic models and agent-based modeling. More specifically, his work examines game theoretic models of arbitration, social network anti-coordination and predator-prey relationships, as well as budgeted supervised learning algorithms. When not busy in academia, Brian enjoys designing card and board games, illustrating, biking and spending time with his wife and two kids.
Ph.D. in Mathematics, University of Illinois at Chicago 2016
MS in Mathematics, Fairfield University 2007
BA in Mathematics & Computer Science, Tufts University 2003
Game theory (cooperative, arbitration, judicial & geometric), agent-based ecological modeling
Yi Huang, Brian Powers, Lev Reyzin. Training-Time Optimization of a Budgeted Booster
In Proceedings of the 24th International Joint Conference on Artificial Intelligence (2015).
Jeremy Kun, Brian Powers, Lev Reyzin. Anti-Coordination Games and Stable Graph Colorings
In Proceedings of the 6th International Symposium on Algorithmic Game Theory (2013).
Brian Powers. An analysis of dual-issue final-offer arbitration
International Journal of Game Theory 48 (1), 81-108
Brian Powers, M Smyrnakis, H Tembine, Empathy in bimatrix games
arXiv preprint arXiv:1708.01910
Brian Powrs, Dual-Issue Final-Offer Arbitration: Invariance of Pure Optimal Strategies Under Lp Metrics
International Game Theory Review 21 (04), 1950011
Courses
2024 Spring
Course Number | Course Title |
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STP 420 | Introductory Applied Statistic |
ABS 350 | Applied Statistics |
2023 Spring
Course Number | Course Title |
---|---|
STP 420 | Introductory Applied Statistic |
2022 Spring
Course Number | Course Title |
---|---|
STP 420 | Introductory Applied Statistic |
ABS 350 | Applied Statistics |
ABS 350 | Applied Statistics |
2021 Fall
Course Number | Course Title |
---|---|
STP 420 | Introductory Applied Statistic |
MAT 170 | Precalculus |
ABS 350 | Applied Statistics |
2021 Spring
Course Number | Course Title |
---|---|
MAT 267 | Calculus for Engineers III |
STP 420 | Introductory Applied Statistic |
MAT 267 | Calculus for Engineers III |
2020 Fall
Course Number | Course Title |
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MAT 265 | Calculus for Engineers I |
MAT 267 | Calculus for Engineers III |
STP 420 | Introductory Applied Statistic |
MAT 267 | Calculus for Engineers III |
ABS 350 | Applied Statistics |
2020 Spring
Course Number | Course Title |
---|---|
MAT 267 | Calculus for Engineers III |
MAT 267 | Calculus for Engineers III |
STP 420 | Introductory Applied Statistic |