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Meet Assistant Professor Cheng Wang

Cheng Wang headshot

µþ¾±´Ç:ÌýCheng Wang is an incoming Assistant Professor of Electrical and Computer and Energy Engineering at the University of Ä¢¹½Ó°Òô Boulder and an affiliated professor at Iowa State University.Ìý

Prior to joining Ä¢¹½Ó°Òô Boulder, Cheng was an Assistant Professor at Iowa State University from 2022 to 2026. He was a Research Scientist at the Center for Brain-inspired Computing Enabling (C-BRIC) at Purdue University from 2019 to 2022, and worked in the industry as a Staff R&D Engineer at Seagate Research Center from 2016 to 2019.

He has served on the Technical Program Committee for beyond-CMOS and emerging technologies for IEEE/ACM Design Automation Conference (DAC), International Conference on Computer-Aided Design (ICCAD), and Great Lakes Symposium on VLSI. He is a recipient of the National Science Foundation (NSF) CAREER Award, Seagate FRC Technical Award, NSF Early-concept Grants for Exploratory Research (EAGER) Award, and Best Paper awards for the IEEE International Conference on Rebooting Computing (ICRC) and IEEE Cross-disciplinary Conference on Memory-Centric Computing.

Cheng received his B.S. degree in Physics from Peking University in 2009 and completed his Ph.D. at the University of Texas at Austin in 2016, with his dissertation on emerging non-volatile and spintronic memories.Ìý

Cheng is also affiliated with the Renewable And Sustainable Energy Institute (RASEI), a joint research institute between Ä¢¹½Ó°Òô Boulder and the National Laboratory of the Rockies.

¸é±ð²õ±ð²¹°ù³¦³ó:ÌýHis current research interests include machine learning hardware acceleration and energy-efficient neuromorphic computing with emerging technologies and architectures.Ìý

ÌýI am excited to join the highly reputed and dynamic faculty at ECEE with deep expertise across a wide spectrum, from quantum electronics/photonics to circuits and systems. I particularly look forward to contributing to the computer system research at ECEE with my cross-disciplinary exploration of next-generation AI hardware.Ìý

I also found that my background and research vision are nicely aligned with the recent endeavor of Ä¢¹½Ó°Òô Boulder in building the ecosystem to develop quantum science and technology. Quantum science may be well positioned to provide the underlying technology for addressing the challenge ofcomputer efficiency. I am also excited about the outdoor experiences around Ä¢¹½Ó°Òô Boulder.Ìý