Abbas Kazerouni

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Abbas Kazerouni
PhD. Candidate
Information System Laboratory
Department of Electrical Engineering
Stanford University

Contact

Room 274, Packard Building
350 Serra Mall
Stanford, CA 94305
Email: abbask@stanford.edu

About Me

I am a PhD candidate in EE department at Stanford University, pursuing my degree under joint supervision of Lawrence M. Wein and Benjamin Van Roy. My research lies at the intersection of Reinforcement Learning and Operation Management with applications in Healthcare and Economics. Specifically, I use Statistical Machine Learning techniques to design algorithms that can learn to make decisions under uncertainty.

I have earned a MSc degree in Electrical Engineering from Stanford University in 2015. Before joining Stanford, I received a BSc in Electrical Engineering and a BSc in Mathematics from Sharif University of Technology in 2013.

Research Interests

  • Reinforcement Learning

  • Bandit Learning

  • Deep Learning

  • Operation Management

  • Healthcare

  • Economics

Invited Talks

  • INFORMS annual meeting, Best Arm Identification in Generalized Linear Bandits, Phoenix AZ, November 2018

  • ORIE department at Cornell University, Dynamic Pricing with Reference Effects, Ithaca NY, October 2017

  • INFORMS annual meeting, Dynamic Pricing with Reference Effects, Nashville TN, November 2016

  • INFORMS annual meeting, Optimal Operation Management of a Public Stool Bank, Philadelphia PA, November 2015