top of page

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.

​

Short bio: 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. 

​

I am currently an Associate Editor for the IEEE Transactions on Information Theory and an Associate Editor for the IEEE Transactions on Signal Processing. In the past, I have served as an Associate Editor for the IEEE Transactions on Communications, an Editor for the IEEE Transactions on Smart Grids, a Guest Editor for the IEEE Signal Processing Magazine, and a Guest Editor-in-Chief for the IEEE Transactions on Smart Grid. I received an NSF CAREER Award in 2016, the Jury Award for Excellence in Research in 2011 from Columbia University, and the James M . Tien '66 Early Career Award from Rensselaer.

​

Recent representative publications:

​​

  • Manuscript on causal representative learning -- linear and general transformations (arXiv).

  • Manuscript on causal representative learning -- linear transformations (arXiv).

  • Manuscript on addressing \beta-optiality of best arm identification in stochastic bandits  (arXiv).

  • Manuscript on best arm identification in restless bandits  (arXiv).

  • Manuscript on physics-guided RL for blackout mitigation in power systems  (arXiv).

  • Paper on the robustness in causal bandits (IEEE Journal on Selected Areas in Information Theory).

  • Paper on causal representative learning -- general transformations (AISTATS 2024).

  • Paper on causal bandits with general models and continuous interventions (AISTATS 2024).

  • Paper on causal discovery from mixture models (Transactions on Machine Learning Research).

  • Paper on causal bandits with linear models (Journal of Machine Learning Research).

  • Paper on SPRT-based best arm identification in stochastic bandits (IEEE Journal on Selected Areas in Information Theory).

  • Paper on estimating high-dimensional graphical structures (IEEE Transactions on Information Theory).

  • Paper on best arm identification in stochastic bandits (ISIT 2022).

  • Paper on adversarial bandits (NeurIPS 2021).

  • Paper on causal discovery (NeurIPS 2021).

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

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

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

  • Paper on adaptive group testing in networks (IEEE Transactions on Signal Processing).

  • Overview paper (arXiv, Entropy) on the broadcast approach in communication networks.

bottom of page