I am an assistant professor in Departments of Mechanical & Industrial Engineering and Electrical & Computer Engineering (by courtesy) at Northeastern University. I worked as a Postdoctoral Fellow in the School of Engineering & Applied Sciences at Harvard University, hosted by Professor Vahid Tarokh. Prior to that, I obtained my Ph.D. in the Department of Electrical & 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 research group works on problems related to Machine Learning, Control and Optimization, and Statistical Signal Processing. Specific research interests include:
- Manifold optimization and non-convex optimization.
- Online optimization, optimal control, and real-time prediction in dynamic environments
- Reinforcement learning
- Statistical machine learning
I am always looking for motivated graduate students with strong background in mathematics for research in the broad area of machine learning, control and optimization.
Our research is multi-disciplinary and prospective students may have background in applied mathematics, industrial and systems engineering, mechanical engineering, electrical and computer engineering, computer science, or statistics. If you are interested in joining our group, please mention that in your application to the graduate program in Mechanical and Industrial Engineering at Northeastern University. Please also send an email to (s.shahrampour[at]northeastern[dot]edu) with your CV, transcripts, and past research experience.
