Scholar
Jeff J. ZHANG
Google Scholar ID: Oi8XML0AAAAJ
Arizona State University
Citations & Impact
Citations
2,006
H-index
19
i10-index
30
Publications
20
Co-authors
17
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 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.
Research Experience
- Jan. 2023 to now: Assistant Professor at Arizona State University; Jan. 2023 to Dec. 2023: Research Associate at Harvard University; Aug. 2020 to Dec. 2022: Postdoctoral Fellow at Harvard University; Sep. 2015 to Aug. 2020: Research Assistant at New York University; Aug. 2018 to Nov. 2018: Research Intern at Microsoft Research; May 2018 to Aug. 2018: Research Intern at Samsung Semiconductor Inc.
Education
- Ph.D. from New York University; M.Eng., B.Eng. from Hunan University
Background
- Assistant Professor in the School of Electrical, Computer and Energy Engineering at ASU. His research interests include deep learning, computer architecture, embedded systems, and EDA, with a particular focus on energy-efficient and fault-tolerant designs for AI/ML systems and hardware accelerators.
Miscellany
- Looking for highly-motivated PhD students in the area of hardware acceleration (ASICs, GPUs, CGRAs, or FPGAs), generative AI systems, ML for EDA to join the team.
