Peng Li
Professor
of Electrical & Computer Engineering, IEEE Fellow
Education: Ph.D. in ECE, Carnegie
Mellon University
Current Research:
VLSI Computer-Aided Design, Neuromorphic Computing,
Hardware Machine Learning Systems, Applied Machine
Learning
Bio
I 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 science & engineering from Xi’an Jiaotong University,
Xi’an, China, in 1997 and 1994, respectively.
I
have been a Professor of ECE at UCSB since July 2019,
where I'm affiliated with the Computer
Engineering (CE) Program. From August 2004 to June
2019, I was with the Department
of Electrical and Computer Engineering at Texas A&M University
as an assistant, associate, and then a full professor. I
was a member of Faculty
of Neuroscience and the Graduate Faculty
of School of
Graduate Studies, Health
Science Center at Texas A&M.
My
research interests lie at the intersection of VLSI
computer-aided design, neuromorphic (brain-inspired)
computing, circuit architectures for hardware machine
learning systems, and applied machine learning.
I
authored and co-authored over 280 journal and conference
publications, earning 10 Best Paper and Most
Influential Paper awards. I extensively
published across leading venues in VLSI systems/CAD/test,
computer architecture, machine learning, and computational
neuroscience, including premier conferences and journals
such as DAC, ICCAD, TCAD, ISCA, HPCA, TVLSI,
TCAS1, DATE, ICCD, ITC, CICC, NeurIPS, ICML, ICLR, AAAI,
CVPR, TMLR, ECCV, TNNLS, NAACL, Neural Computation, and
J. Comput. Neurosci. I was the principle
co-editor of the book, entitled "Simulation
and Verification of Electronic and Biological Systems"
(Springer, 2011), and co-edited one additional book and
seven book chapters.
Among
other distinctions, my research was recognized by the IEEE
ASAP Best Paper Award (2021), the IEEE
ICCD Best Paper Award (2020), the ACM/IEEE ICCAD Ten
Year Retrospective Most Influential Paper Award
(2019), four ACM/IEEE
Design Automation Conference (DAC)
Best Paper Awards (2003, 2008, 2011, 2016), the
ISCAS Honorary Mention Best Paper Award (2016)
from the Neural Systems and Applications Technical
Committee of IEEE Circuits and Systems (CAS) Society, the
William J. McCalla ICCAD Best Paper Award
from ACM/IEEE
International Conference on Computer-Aided Design (ICCAD)
(2012), the US National Science Foundation CAREER
Award (2008), two MARCO Inventor
Recognition Awards from Microelectronics
Advanced Research Corporation (MARCO) (2006,
2007), two SRC Inventor Recognition Awards (2001,
2004) from the Semiconductor
Research Corporation (SRC), a world-renowned
semiconductor industry research consortium. Six of my
other publications were nominated for the ICCAD Best Paper
Award or the IEEE
Transactions on Computer-Aided Design Donald O.
Pederson Best Paper Award.
At
the 50th ACM/DAC Design
Automation Conference in 2013, I received the DAC
Best Paper Hat Trick Award—a special honor
awarded for winning the prestigious DAC Best Paper Award
three times—as well as the DAC Prolific Author
Award and the DAC Top 10 Author in
Fifth Decade Award.
At
Texas A&M, I was recognized with the 2018-2019 Eugene
E. Webb Faculty Fellow, 2013-2014 William
and Montine P. Head Fellow, 2011-2012 TEES
Fellow Award from the College
of Engineering, and the ECE Outstanding
Professor Award (2008).
I'm
an Associate Editor for
Neuromorphic Engineering of Frontiers in Neuroscience,
and was an Associate Editor for IEEE
Transactions on Computer-Aided Design of Integrated
Circuits and Systems from 2020 to 2023 and from
2008 to 2013, an associate editor for IEEE
Transactions on Circuits and Systems I (TCAS1)
from 2020 to 2023, and an associate editor for IEEE
Transactions on Circuits and Systems II (TCAS2)from
2008 to 2016. I have been on the committees of many
international conferences and workshops such as AAAI, DAC,
ISLPED, IJCNN, ICCAD, ICCD, 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.
I was elected a Fellow of the IEEE in
2015, and served as 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.
I
have consulted for Intel Corporation and several
Silicon-Valley startup and high-tech investment companies.