About Dr. Massoud Pedram


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.

Research Interests

  • Energy-Efficient Computing
  • Machine Learning Hardware
  • Superconductive Electronics
  • Homomorphic Computing
  • System-Level Power Management and Power-Aware Design Methodologies
  • Cloud Computing and Data Center Resource Provisioning and Management
  • Beyond CMOS Devices and Circuits
  • Low Power Circuit Design Techniques
  • Power Conversion and Regulation Technologies
  • Power-Aware Wireless Networks and Mobile Ad Hoc Networks

Recent Publications

  • M. Li, B. Zhang and M. Pedram, “Striking a Good Balance Between Area and Throughput of RSFQ Circuits Containing Feedback Loops,” IEEE Trans. on Applied Superconductivity, vol. 33, no. 5, Aug. 2023.
  • M. A. Karamuftuoglu and M. Pedram, “α-Soma: Single Flux Quantum Threshold Cell for Spiking Neural Network Implementations,” IEEE Trans. on Applied Superconductivity, vol. 33, no. 5, Aug. 2023.
  • A. Fayyazi, M. Munir, S. Athrey, S. Nazarian and M. Pedram, “Formal Verification of Sequential Circuits in Superconducting Single Flux Quantum Technologies,” IEEE Trans. on Applied Superconductivity, vol. 33, no. 5, Aug. 2023.
  • J. Park, E. Choi, W-J. Lee, S. Lee, J-J. Lee, and M. Pedram. “A Low-Power RISC-V Multicore Processor with a Shared Lightweight FPU,” Proc. of Int’l Symp. on Low Power Electronics and Design, 2023.
  • J. Hong, A. Fayyazi, A. Esmaili, M. Nazemi and M. Pedram. “Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks,” Proc. of Design Automation Conf., 2023.