Interests: I am broadly interested in theoretical and algorithmic aspects of mathematical statistics, information theory, and machine learning. The application domains that drive my research are power systems and wireless communication networks.

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Short bio (curriculum vitae): I received the B.Sc. (2002) and M.Sc. (2004) degrees in Electrical Engineering from Sharif University of Technology, and the M.A. degree in Statistics and the Ph.D. degree (2010) in Electrical Engineering from Columbia University. I was a postdoctoral research associate at Princeton University during 2010-2012. 

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I have served as an Associate Editor for the IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Smart Grids; as a Guest Editor for the IEEE Signal Processing Magazine, and as a Guest Editor-in-Chief for the IEEE Transactions on Smart Grid. I received an NSF CAREER Award in 2016 and the Jury Award for Excellence in Research in 2011 from Columbia University.

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Recent publications:

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• Paper on adversarial bandits (to appear in NeurIPS 2021).

• Paper on causal discovery (to appear in NeurIPS 2021).

• Paper on active sampling over graphical models (to appear in IEEE Transactions on Information Theory).

• Paper on multi-layer structure learning in graphical models (to appear in AISTATS 2021).

• Paper on active sampling for sequential estimation (to appear in ICASSP 2021).

• Paper on adaptive group testing in networks (ICASSP 2021).

• Edited book entitled "Advanced Data Analytics for Power Systems" published by Cambridge University Press (Co-Eds. Samir Perlaza and Vince Poor).

• Overview paper (arXiv, Entropy) on the broadcast approach in communication networks (with Avi Steiner and Shlomo Shamai).