Sherief Reda Associate Professor of Engineering, Associate Professor of Computer Science

Sherief Reda is an Associate Professor (with tenure) at the School of Engineering, Brown University. He joined the Computer Engineering group at Brown in 2006 after receiving his Ph.D. in computer science and engineering from University of California, San Diego. His research interests are in the area of computer engineering, with focus on energy-efficient computing systems, design automation and test of integrated circuits, and reconfigurable computing. Prof. Reda has over 85 refereed conference and journal papers (Google scholar profile). He served as a member of technical program committees for many IEEE/ACM conferences including DAC, ICCAD, ASPDAC, DATE, ICCD, GLSVLSI, and SLIP. Professor Reda received a number of awards and acknowledgments, including a hot article in Operations Research letters in 2004, a first place award in ISPD VLSI placement contest in 2005, five best paper nominations (DATE 2002, ICCAD 2005, ASPDAC 2008, ISLPED 2010 and ICCAD 2015), two best paper awards (DATE 2002 and ISLPED 2010), Brown's Salomon award in 2008, and a NSF CAREER award. His research has been funded by NSF, DoD ARL, DARPA, AMD, Samsung, Intel, Qualcomm and Videology. He is a senior member of IEEE.

Brown Affiliations

Research Areas

research overview

My current research focuses advance energy-efficient computing frontiers despite physical limitations arising from nano-scale integration.  Our current research projects include: (1) energy-efficient adaptive computing for servers; (2) thermal/power sensing, modeling and management for multi-core heterogeneous processors; and (3) low-power approximate and custom computing.

research statement

General research interests:

  • Computer Systems.
  • Computer-Aided Design, Manufacturing and Test of Integrated Circuits.
  • Reconfigurable Computing.

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Current research projects:
  • Project 1: Thermal/power sensing, modeling and management for multi-core heterogeneous processors. 
  • Project 2: Energy-efficient adaptive computing for servers in datacenters and HPC clusters. 
  • Project 3: Low-power approximate and custom computing. 
  • Project 4: Power and variability-aware physical design.


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funded research


  • NSF
  • DoD ARL
  • Qualcomm corporation
  • Intel corporation
  • AMD corporation
  • Brown University, Salomon Award
  • Altera corporation (equipment donation)