email: shahin[at]tamu[dot]edu office: ETB 4032
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). 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. I also completed an A.M. in Statistics from the The Wharton School and a B.S. in Electrical Engineering from Sharif University of Technology.
My main research goal is to develop computationally efficient and scalable methods for approximation and online decision-making in engineering systems. The fields relevant to my research are Machine Learning, Control and Optimization, and Statistical Signal Processing. Specific research interests include:
- Kernel methods, large-scale statistical learning, and generalization in artificial neural networks
- Online optimization and real-time prediction in dynamic environments
- Distributed optimization and learning with a focus on finite-time analysis
- Multi-armed bandits and sequential decision-making
- Network identification using power spectral analysis