Soham Phade

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Graduate Student, PhD
Department of Electrical Engineering & Computer Science
University of California, Berkeley

Email: soham underscore phade at berkeley dot edu
Office: 264 Cory Hall, Berkeley

Brief Bio

I am a fourth year graduate student in the EECS Department at UC Berkeley (UCB), advised by Prof. Venkat Anantharam. My research interests include Cooperative and Non-cooperative Game Theory, Network Economics, Behavioral Economics, Decision Theory, Optimization, Stochastic Processes, Dynamic Programming and Optimal Control. I am interested in problems at the intersection of Learning and Economics and my current research focus is on designing market-based mechanisms and algorithms on presumably more accurate models of human behavior from psychology and decision theory, for increasing human welfare and for building more efficient commercial systems that interact with humans.

I graduated from the Indian Institute of Technology, Bombay (IIT) with a B.Tech. in Electrical Engineering with Honors and a Minor in Computer Science and Engineering in 2015. During my undergraduate studies, I was fortunate to work with Prof. Vivek Borkar, Prof. Abhay Karandikar and Dr. Narendra Karmarkar on several interesting projects. I also spent three exciting months at the Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California (USC), working with Prof. Rahul Jain in 2014.

Publications

  • Optimal Resource Allocation over Networks via Lottery-Based Mechanisms.
    Soham R. Phade, Venkat Anantharam
    International Conference on Game Theory for Networks (pp 51-70), Springer, Cham (2019)

  • On the Geometry of Nash and Correlated Equilibria with Cumulative Prospect Theoretic Preferences.
    Soham R. Phade, Venkat Anantharam
    Decision Analysis INFORMS (2018)

  • A Distributed Boyle-Dykstra-Han Scheme.
    Soham R. Phade, Vivek S. Borkar
    SIAM journal on Optimization 27(3): 1880-1897 (2017)

Presentations

  • Optimal Resource Allocation over Networks via Lottery-Based Mechanisms.
    Best Paper Award at the 9th EAI International Conference on Game Theory for Networks, GameNets 2019, April 25-26, Paris.

  • Learning in Games with Cumulative Prospect Theoretic Preferences.
    The 29th International Conference on Game Theory, Stony Brook University July 16-20, 2018.

  • On the Geometry of Nash and Correlated Equilibria with Cumulative Prospect Theoretic Preferences.
    55th Annual Allerton Conference on Communications, Control, and Computing, Allerton Oct. 4-6, 2017.

Working Papers and Preprints

  • A Fair and Stable solution concept for Balanced Cooperative Games.
    Soham R. Phade, Venkat Anantharam

  • Black Box Strategies and Equilibrium for CPT Players.
    Soham R. Phade, Venkat Anantharam

Outside links

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