IEEE Circuits and Systems Magazine - Q3 2023 - 32

Ligeng Zhu is currently pursuing the
Ph.D. degree with MIT EECS, Cambridge,
MA, USA, supervised by Prof.
Song Han. His study focuses on efficient
and accelerated deep learning
systems and algorithms.
Wei-Ming Chen is a Postdoctoral Associate
with MIT EECS, Cambridge, MA,
USA. He received the master's and
Ph.D. degrees in computer science and
information engineering from National
Taiwan University, New Taipei, Taiwan,
in 2015 and 2020, respectively. His research interests include
TinyML and embedded systems with a focus on
enabling efficient deep learning on edge devices.
Wei-Chen Wang is a Postdoctoral Associate
with MIT EECS, Cambridge,
MA, USA. He received the Ph.D. degree
in computer science from the Department
of Computer Science and Information
Engineering, National Taiwan
University, New Taipei, Taiwan, in 2021. His current research
interests include efficient deep learning, model
compression, TinyML, and embedded systems.
Song Han is an Associate Professor
with MIT EECS, Cambridge, MA, USA.
He received the Ph.D. degree from
Stanford University, Stanford, CA, USA.
His research focuses on efficient deep
learning computing at the intersection
between machine learning and computer architecture.
He proposed " deep compression " and the " efficient inference
engine " that widely impacted the industry. He is
a recipient of NSF CAREER Award, Sloan Research Fellowship,
MIT Technology Review Innovators Under 35,
the best paper awards at the ICLR and FPGA, and the
faculty awards from Amazon, Facebook, NVIDIA, Samsung,
and SONY.
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IEEE CIRCUITS AND SYSTEMS MAGAZINE
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THIRD QUARTER 2023
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IEEE Circuits and Systems Magazine - Q3 2023

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