Ehsan Kazemi

Experience

  • Post-Doctoral Fellow (Dec 2016-March 2020), Inference, Information and Decision Systems Group, Yale Institute for Network Science.
    • I was fortunate to work with a group of prominent researchers (including my adviser Amin Karbasi) on a broad set of machine learning problems such as scalable submodular optimization, applications of deep learning in computational biology and fairness.

Education

  • Ph.D., Computer, Communication and Information Sciences (2011-2016), Thesis title: “Network Alignment: Theory, Algorithms, and Applications”, Laboratory for Computer Communications and Applications (LCA4), EPFL, Lausanne, Switzerland.
  • Ph.D. candidate, Computer, Communication and Information Sciences (2010-2011), Unaffiliated Ph.D. student, EPFL, Lausanne, Switzerland, Laboratory for Computer Communications and Applications (LCA1).
  • MS.c., Electrical Engineering and Communication Systems (2008-2010), Sharif University of Technology, Tehran, Iran.
  • BS.c., Electrical Engineering and Communication Systems (2004-2008), Sharif University of Technology, Tehran, Iran.

Publications

My RESEARCH IN THE PRess