Peng Li (CV)

Adjunct Professor (since July 2019)
Fellow of the IEEE
Assistant Professor, Associate Professor, Professor (August 2004 – June 2019)
Department of Electrical & Computer Engineering
Texas A&M University
3259 TAMU
College Station, TX 77843, USA
Email: pli at tamu dot edu

Professor, ECE, UC Santa Barbara (July 2019 – present) 
Email: lip at ucsb dot edu


(Peng Li  joined the faculty of UC Santa Barbara as Professor of ECE in July 2019.)

In August 2004,  Peng Li  joined the faculty of the Department of Electrical and Computer Engineering at Texas A&M University as an assistant professor. He was Professor of ECE from September 2015 to June 2019. He was a member of Faculty of Neuroscience and the Graduate Faculty of School of Graduate StudiesHealth Science Center at Texas A&M. He received the Ph.D. degree in electrical and computer engineering from Carnegie Mellon University, Pittsburgh, PA in 2003 and the M. Eng. degree in systems engineering and B.Eng. degree in information engineering from Xi’an Jiaotong University, Xi’an, China, in 1997 and 1994, respectively.

Li’s research interests are in integrated circuits and systems, computer-aided design,  brain-inspired computing, computational brain modeling, machine learning and its hardware realization in VLSI.  His present work focuses on design and analysis of IC power delivery networks and voltage regulators/converters; modeling, verification and optimization of analog/mixed-signal/RF circuits; VLSI machine learning systems; brain-inspired architectures; bio-physically based modeling of nervous systems; and large-scale parallel simulation of brain models. He is a co-editor of the book, entitled “Simulation and Verification of Electronic and Biological Systems” (Springer, 2011).  He has edited one additional book, authored and co-authored over 180 journal and conference publications, and six book chapters.

His work has been recognized by various distinctions including four IEEE/ACM Design Automation Conference (DAC) Best Paper Awards in 2003, 2008, 2011, and 2016, the ISCAS Honorary Mention Best Paper Award from  the Neural Systems and Applications Technical Committee of IEEE Circuits and Systems (CAS) Society at IEEE International Symposium on Circuits and Systems (ISCAS) in 2016,  the IEEE/ACM William J. McCalla ICCAD Best Paper Award from  IEEE/ACM International Conference on Computer-Aided Design (ICCAD) in 2012, the US National Science Foundation CAREER Award in 2008, two Inventor Recognition Awards from Microelectronics Advanced Research Corporation (MARCO) in 2006 and 2007, two  Semiconductor Research Corporation (SRC)  Inventor Recognition Awards in 2001 and 2004,  the 2013-2014 William and Montine P. Head Fellow and 2011-2012 TEES Fellow Award from the College of Engineering, Texas A&M University,  the ECE Outstanding Professor Award from Texas A&M University in 2008, and  several Best Paper Award nominations from ICCAD. At the 50th IEEE/ACM Design Automation Conference in 2003, he was honored with the Best Paper Hat Trick Award for receiving the prestigious DAC best paper award three times,  the DAC Prolific Author Award, and the DAC Top 10 Author in Fifth Decade Award.

He was an Associate Editor for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems from 2008 to 2013 and an associate editor for IEEE Transactions on Circuits and Systems II from 2008 to 2016. He has been on the committees of many international conferences and workshops such as DAC, IJCNN, ICCAD, ISQED, ISCAS, TAU and FAC, ICCAD Best Paper Award Committee, and the selection committee for ACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation. He served as the technical program committee chair for the ACM TAU Workshop in 2009 and general chair for the 2010 Workshop. He was a member of the Executive Committee and the Vice President for Technical Activities of IEEE Council on Electronic Design Automation (CEDA) from Jan. 2016 to Dec. 2017.

Li has consulted for Intel Corporation and several EDA companies on VLSI CAD. He is a Fellow of the IEEE and a member of the ACM.