Ming Hsieh Department of Electrical Engineering
University of Southern California
3740 McClintock Ave, EEB 300-B
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 Charles Lee Powell Professor of Electrical Engineering and Computer Science in the USC Viterbi School of Engineering. Dr. Pedram is a recipient of the IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award (2015), the Presidential Early Career Award for Scientists and Engineers (1996), and the National Science Foundation's Young Investigator Award (1994). 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, one Best Paper Award of the ACM/IEEE Int’l Symp. on Low Power Design and Electronics, three Best Paper Awards from the International Conference on Computer Design, one Best Paper Award of the IEEE Computer Society Annual Symp. on VLSI, an IEEE Transactions on VLSI Systems Best Paper Award, and an IEEE Circuits and Systems Society Guillemin-Cauer Award. Dr. Pedram was recognized as one of the four DAC Prolific Authors (with 50+ papers) and the DAC Bronze Cited Author at the 50th anniversary of the Design Automation Conf., Austin, TX (2013), received a Frequent Author Award (Top Three Author Award) at the 20th Anniversary Asia and South Pacific Design Automation Conference, Chiba/Tokyo, Japan (2015), and listed as the Second Most Prolific and Second Most Cited Author at the 20th Anniversary Int’l Symp. on Low Power Electronics and Design, Rome, Italy (2015).
Dr. Pedram's expertise and research interests include (click here for more):
Click here for the complete list of publications.
R. Cai, A. Ren, L. Wang, M. Pedram, and Y. Wang.
Hardware Acceleration of Bayesian Neural Networks using Linear Feedback RAM based Gaussian Random Number Generators, To appear in Proc. of Int’l Conf. on Computer Design, Oct. 2017.
L. Wang, S. Chen, and M. Pedram.
Context-Driven Power Management in Cache-Enabled Base Stations using a Bayesian Neural Network, To appear in Proc. of Int’l Green and Sustainable Computing Conf., Oct. 2017.
L. Wang, A. Shafaei, and M. Pedram.
Gate-All-Around FET Based 6T SRAM Design Using a Device-Circuit Co-Optimization Framework, Proc. of the 60th IEEE International Midwest Symposium on Circuits and Systems, Aug. 2017, pp. 1113-1116.
M. Nazemi, S. Nazarian, and M. Pedram.
High-performance FPGA implementation of equivariant adaptive separation via independence algorithm for Independent Component Analysis, Proc. of the 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors, Jul. 2017.