Scholar
Wujie Wen
Google Scholar ID: QKQrD1wAAAAJ
Associate Professor, Department of Computer Science, NC State University
Citations & Impact
Citations
2,903
H-index
24
i10-index
63
Publications
20
Co-authors
1
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- His work has been published widely across venues in EDA, machine learning/AI, etc., including DAC, ICCAD, DATE, MICRO, HPCA, ICPP, HOST, IEEE Security & Privacy (Oakland), USENIX Security, ACSAC, CVPR, NeurIPs, ICML, ICCV, ECCV, AAAI, etc. He received the 2023 IEEE/ACM William J. McCalla ICCAD Best Paper Award (2 out of 750 submissions), along with multiple best paper nominations across the four major EDA conferences: DAC, ICCAD, DATE, and ASPDAC. Recipient of NSF Faulty Early Career Award, 49th DAC A. Richard Newton Graduate Scholarship (the most prestigious Ph.D. scholarship in EDA society, one awardee per year), 2014 Bronze Medal of ACM Special Interest Group on Design Automation (SIGDA) student research competition (SRC) in ICCAD, and 2015 DAC Ph.D. forum best poster presentation.
Research Experience
- Was an assistant professor and then promoted to a tenured associate professor in the Department of Electrical and Computer Engineering (ECE) at Lehigh University between 08/2019-08/2023. Also served as an assistant professor at Florida International University, Miami, Florida during 2015-2019. Before joining academia, worked with AMD and Broadcom in various engineer and intern positions.
Education
- Received his Ph.D. from the University of Pittsburgh in 2015, under the supervision of Dr. Yiran Chen (now at Duke University). Earned his B.S. and M.S. degrees in electronic engineering from Beijing Jiaotong University and Tsinghua University, Beijing, China, in 2006 and 2010, respectively.
Background
- Research interests include deep learning hardware acceleration/security and privacy/application, neuromorphic computing, electronic design automation (EDA), and circuit-architecture design for emerging memory technologies, etc. Currently, he is an associate professor in the Department of Computer Science at North Carolina State University.
Miscellany
- Interested in software-hardware co-design for efficient domain-specific computing (e.g., machine learning), design automation and hardware acceleration, trustworthy and privacy-preserving AI computing, machine learning, cyber-physical systems (autonomous driving and medical). His group at NCSU is currently hiring highly motivated Ph.D. students and postdocs.
