Zhengyuan Zhou

  I am currently a Ph.D. Candidate in the Information System Laboratory in Department of Electrical Engineering at Stanford University. I am also concurrently pursuing a M.S. in the Department of Statistics. I am very fortunate to be advised by Professor Nicholas Bambos and Professor Peter Glynn. I am also working with Professor Stefano Ermon on learning deep latent variable models. I am funded by a Stanford Graduate Fellowsip (SGF) in Science and Engineering.

I attended University of California at Berkeley from August 2009 to December 2012 and graduated with B.E. in Electrical Engineering and Computer Sciences and B.A. in Mathematics. At Berkeley, I was very fortunately advised by Professor Claire Tomlin and Professor Jonathan Shewchuk. Over the years, I have also been very fortunate to work and collaborate with many amazing people. If you share similar research interests and would like to chat, feel free to stop by. This is my Google Scholar page.

Contact

Email : zyzhou@stanford.edu

Packard Bldg.
350 Serra Mall
Stanford, CA 94305

News

    Upcoming

Education

  • Ph.D. in Electrical Engineering, Stanford University, Sept. 2013 - Present

  • M.S. in Computer Science, Stanford (in progress)

  • M.S. in Statistics, Stanford University (in progress)

  • B.E. in Electrical Engineering and Computer Sciences & B.A. in Mathematics, University of California, Berkeley, August 2009 - December 2012

Research Interests

  • Learning and Game Theory

  • Sequential Decision Making and Reinforcement Learning

  • Learning Deep Latent Generative Models

  • Stochastic Control and Optimization

  • Social and Risk Networks

  • Wireless and Wireline Communications

  • Data Science with Applications to Hospital Operations Managment

  • Differential Games with Applications to Path Planning and Collision Avoidance Problems

Professional Services

  • Reviewer for IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, Journal of Optimization Theory and Applications

  • Reviewer for NIPS, AAAI, IEEE Conference on Decision and Control, American Control Conference, IEEE International Conference on Robotics and Automation