Peng Li

Peng Li

Electrical and Computer Engineering

Electrical and Computer Engineering


(805) 893-6051
4123 Harold Frank Hall

University of California, Santa Barbara
Santa Barbara, CA 93106-5080

Fellow of: 



Best Paper Award, IEEE/ACM Design Automation Conference; Fellow, IEEE; NSF CAREER Award; Inventor Recognition Award, Microelectronics Advanced Research Corporation


Electronic and Photonic Materials, Photonics & Electronics, Systems Biology

Integrated circuits and hardware have resulted in unprecedented design complexity and a myrid of electrical, thermal, and variability effects that must be accounted for in design and verification. In the meantime, the era of data-driven science and engineering has rendered a growing gap between the supply and demand of computing power. This calls for new computational models, circuits, and architectures to meet the escalating performance and energy efficiency needs. As a result, his research has centered on:
1) analog, mixed-signal, RF, and memory circuits - to enable modeling, verification, and optimization of the interfaces of our electronic systems with the real world and data storage
2) energy-efficient adaptive IC power delivery systems - to enable design and analysis of large-scale systems that can play key roles in robust low-power design
3) computational neuroscience, brain-inspired computing, and hardware machine learning systems - to apply the expertise from integrated circuit design to understanding the brain in order to create brain-inspired computing and hardware accelerated by machine learning


PhD  Electrical and Computer Engineering, Carnegie Mellon University
MS    Systems Engineering, Xi'an Jiaotang University
BS     Information Science and Engineering, Xi'an Jiaotang University