Ming Hsieh Department of Electrical Engineering
University of Southern California
3740 McClintock Ave, EEB 344
Los Angeles CA 90089-2562
pedram at usc.edu
Office: (213) 740-4458
Fax: (213) 740-9803
Massoud Pedram obtained his B.S. degree in Electrical Engineering from the California Institute of Technology in 1986. Subsequently, he received M.S. and Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley in 1989 and 1991, respectively. In September 1991, he joined the Ming Hsieh Department of Electrical Engineering of the University of Southern California where he currently is the Stephen and Etta Varra Professor in the USC Viterbi School of Engineering. Dr. Pedram is a recipient of the National Science Foundation's Young Investigator Award (1994) and the Presidential Early Career Award for Scientists and Engineers (1996). His research has received a number of other awards including two Design Automation Conference Best Paper Awards, a Distinguished Paper Citation from the Int'l Conference on Computer Aided Design, three Best Paper Awards from the International Conference on Computer Design, an IEEE Transactions on VLSI Systems Best Paper Award, and an IEEE Circuits and Systems Society Guillemin-Cauer Award.
Dr. Pedram's expertise and research interests include (click here for more):
Click here for a complete list.
J. Li, Y. Wang, X. Lin, S. Nazarian, and M. Pedram. “Negotiation-Based Task Scheduling and Storage Control Algorithm to Minimize User’s Electric Bills under Dynamic Prices,” To appear in Proc. of Asia and South Pacific Design Automation Conference, Jan. 2015.
A. Shafaei, Y. Wang, and M. Pedram. “A Cross-Layer Framework for Designing and Optimizing Deeply-Scaled FinFET-Based SRAM Cells under Process Variations,” To appear in Proc. of Asia and South Pacific Design Automation Conference, Jan. 2015.
J. Li, Y. Wang, T. Cui, S. Nazarian, and M. Pedram. “Negotiation-Based Task Scheduling to Minimize User’s Electricity Bills under Dynamic Energy Prices,” To appear in Proc. of IEEE Online Conf. on Green Communications, Nov. 2014.
S. Chen, Y. Wang, and M. Pedram. “Optimal Offloading Control for a Mobile Device Based on a Realistic Battery Model and Semi-Markov Decision Process,” To appear in Proc. of the Int’l Conf. on Computer Aided Design, Nov. 2014.