Leadership
Director: Professor Massoud Pedram
- Charles Lee Powell Chair in Electrical Engineering and Computer Science
- Ph.D. University of California, Berkeley (1991)
- USC Viterbi School of Engineering Senior Research Award, 2017
- IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award, 2015
- Presidential Early Career Award for Scientists and Engineers, 1996
- Multiple best conference and journal paper awards, IEEE Fellow, 2000
- Research interests:
- Energy-efficient computing – Computer-aided design, Low power design, Embedded systems
- Hardware design – Approximate hardware, DNN accelerators, Homomorphic encryption
- Superconductor Electronics – RTL/logic synthesis, Place&Route, Timing and margin analysis
Co-director: Professor Joshua Yang
- Professor in Electrical and Computer Engineering
- Ph.D. University of Wisconsin – Madison (2007)
- Founder Chair of IEEE Neuromorphics Technical Committee
- Powell Faculty Research Award, 2021
- Clarivate™ Highly Cited Researchers in the field of Cross-Field, 2020
- UMass Chancellor’s Medal (highest honor of UMass), 2019
- Best paper in Advanced Materials Technologies, Wiley, 2019
- UMass Amherst Distinguished Faculty Lecturer, 2019
- NVMTS2019 Best poster award, IEEE, 2019
- Winner of UMass Spotlight Scholar, 2017
- Research interests:
- Neuromorphic / Synaptic computing using memristive devices with diffusion dynamics to implement neuroscience principles
- Hardware accelerators to efficiently implement Artificial Intelligence and Machine Learning using analog resistive switching devices
- High performance Non-volatile memories using emerging materials and devices
Senior Research Scientist: Mehdi Kamal, Ph.D.
- Ph.D. University of Tehran (2013)
- IEEE Senior Member
- Best paper awards in ISQED and ICCD conferences
- Research interests:
- Low Power Design
- Approximate Computing
- Neuromorphic Computing
- HW/SW Co-design
- Reliability in nanometer designs
Technology Advisors
Participating USC Faculty
- Devices and Circuits: Chongwu Zhou, Rehan Kapadia, Mercedeh Khajavikhan, Mike Chen, Joshua Yang, Han Wang
- Machine Learning and Graph Analytics: Keith Chugg, Eun Sok Kim, Leana Golubchik, Viktor Prasanna, Xuehai Qian, Murali Annavaram, Peter Beerel
- Quantum Computing: Daniel Lidar, Todd Brun, Itay Hen, Federico Spedalieri
- Non VonNeumann Computing: Joshua Yang, Ajey Jacob, Wei Wu, Chia Wei Wade Hsu, John Wroclawski
- Secure and Private Computing: Pierluigi Nuzzo, Massoud Pedram, Matthew French, Andrew Schmidt