Jeff Zhang
Assistant Professor, School of Electrical, Computer and Energy Engineering
Jeff (Jun) Zhang is an assistant professor in the School of Electrical, Computer and Energy Engineering at ASU. He obtained his Ph.D. from New York University. From 2020-2022, Zhang was a postdoctoral fellow at Harvard University. Zhang’s general research interests are in deep learning, computer architecture, embedded systems, and EDA, with particular emphasis on energy-efficient and fault-tolerant design for AI/ML systems and hardware accelerators. His work received IEEE Top Picks in Test and Reliability in 2023, IEEE Micro 2022 Best Paper Award, best paper award nominations at DATE 2022 and VTS 2018, and best presentation award nomination at DATE Ph.D. Forum 2020. Jeff serves on the technical program committee of several top conferences in the area of computer engineering and computer hardware, and has served as a reviewer for several IEEE and ACM journals.
Awards and Honors
- IEEE Top Picks in Test and Reliability, IEEE ITC, 2023
- Best Paper Award, IEEE Micro, 2022
- Best Paper Award Candidate, IEEE DATE, 2022
- Best Presentation Award Nomination, ACM SIGDA DATE PhD Forum, 2020
- Best Paper Award Nomination, IEEE VLSI Test Symposium, 2018
- Ernst Weber Ph.D. Fellowship, New York University, 2015, 2016
Experience
Arizona State University, Tempe AZ
- Assistant Professor Jan. 2023 to now
Harvard University, Cambridge MA
- Research Associate Jan. 2023 to Dec. 2023
- Postdoctoral Fellow Aug. 2020 to Dec. 2022
- Teaching Fellow
- - Topics in Mixed Signal Integrated Circuits. (Fall'22, Spring'21)
- - Design of VLSI Circuits and Systems. (Spring'22)
New York University, New York NY
- Research Assistant Sep. 2015 to Aug. 2020
- Teaching Assistant
- - Computer Architecture. (Fall'17, Fall'16)
- - Introduction to VLSI. (Spring'17)
Microsoft Research, Redmond WA
- Research Intern Aug. 2018 to Nov. 2018
Samsung Semiconductor Inc., San Jose CA
- Research Intern May 2018 to Aug. 2018
