Data Science Institute

Sherief Reda is a full Professor at the School of Engineering (SoE) and Computer Science Department, Brown University. He joined the SoE in 2006 after receiving his PhD in Computer Science & Engineering from UCSD. His SCALE lab conducts research in the areas of computing systems, with focus on energy-efficient computing, digital chip design, embedded systems, computer architecture, and combinatorial optimization. Prof. Reda  co-authored two books, and over 130 articles in leading conferences and journals (Google scholar profile). He is a holder of five US patents. Professor Reda received several best paper nominations and awards. He has been a PI or co-PI on more than $21M of funded projects from federal agencies and industry corporations. He served as a technical program committee member for many IEEE/ACM conferences. He served as the General Chair for IEEE/ACM Symposium on Low-Power and Electronics Design, and as an associate editor for ElSevier Integration and IEEE Transactions on CAD. Prof. Reda is a recipient of NSF CAREER award, and he is a Fellow of IEEE for his contribution to energy-efficient and approximate computing. Besides his Academic work, he was a Principal Scientist at Amazon between 2021 and 2023, and he also serves as an expert witness in patent litigation lawsuits. He is currently an Amazon Scholar.

How does your research, teaching, or other work relate to data or computational science?

I work on the intersection of machine learning with optimization with applications in logistics and hardware design, and also more recently on the intersection of machine learning and social sciences.