I am an assistant professor in the departments of Industrial & Systems Engineering and Electrical & Computer Engineering (by courtesy) at Texas A&M University. I am also affiliated with Texas A&M Institute of Data Science (TAMIDS).
My research interests broadly include Machine Learning, Optimization, Online Learning and Sequential Decisions, and Multi-agent Systems, with a focus on developing computationally efficient methods for Data Analytics. The fields relevant to my research are Machine Learning, Control and Optimization, and Signal Processing. For more information, please visit research and publications.
Before joining TAMU, I worked as a Postdoctoral Fellow in the School of Engineering and Applied Sciences at Harvard University, hosted by Professor Vahid Tarokh. Prior to that, I obtained my Ph.D. in the Department of Electrical and Systems Engineering, at the University of Pennsylvania, where I was advised by Professors Ali Jadbabaie and Alexander Rakhlin. My PhD dissertation was on Online and Statistical Learning in Networks.
A postdoc position is available in the area of large-scale statistical learning. Please see opportunities if you are interested to join.
- Ph.D. in Electrical and System Engineering, August 2015, University of Pennsylvania, Philadelphia, PA
- A.M. in Statistics, May 2014, The Wharton School, University of Pennsylvania, Philadelphia, PA
- M.S. in Electrical Engineering, August 2012, University of Pennsylvania, Philadelphia, PA
- B.S. in Electrical Engineering, August 2009, Sharif University of Technology, Tehran, Iran