Scholar
Deliang Fan
Google Scholar ID: sAflhJUAAAAJ
Associate Professor, School of Electrical Computer and Energy Engineering, Arizona State University
Citations & Impact
Citations
6,476
H-index
42
i10-index
122
Publications
20
Co-authors
51
list available
Contact
No contact links provided.
Publications
Cited
0
Resume (English only)
Academic Achievements
- 1. National Science Foundation Faculty Early Career Development (CAREER) Award, 2022
- 2. Best IP Paper Award in Design, Automation and Test in Europe (DATE), 2022
- 3. Best Paper Award in 29th ACM Great Lakes Symposium on VLSI, 2019
- 4. Best Paper Award in IEEE Computer Society Annual Symposium on VLSI, 2018
- 5. Best Paper Award in IEEE Computer Society Annual Symposium on VLSI, 2017
- 6. Best Poster Award (1st place) at ACM SIGDA & IEEE CEDA PhD Forum at Design Automation Conference (DAC), 2018
- 7. Best Presenter Award at IEEE 15th Annual Computing and Communication Workshop and Conference, 2025
- 8. Best Paper Candidate in Asia and South Pacific Design Automation Conference (ASP-DAC), 2019
- 9. Best Paper Candidate in International Symposium on Quality Electronic Design (ISQED), 2019
- 10. Best Reviewer of IEEE Circuits and Systems Magazine, 2022
- 11. Top Picks in Hardware and Embedded Security, 2024
- 12. Top 5% Faculty at the Ira A. Fulton Schools of Engineering, ASU, 2022
- 13. Top 5% Teaching Award, Fulton Schools of Engineering, ASU, 2022
- 14. Outstanding Faculty Mentor Award Nomination of ASU Graduate College, 2021/2022
- 15. ASU SUN Award, 2022
- 16. Schloss Dagstuhl – NSF Award for Junior Researchers, 2019
Research Experience
- Dr. Deliang Fan's research areas cover AI circuit, chip, and system hardware design, energy-efficient in-memory computing circuit, architecture, chip, and algorithm cross-layer co-design, efficient AI algorithms, adversarial artificial intelligence security and trustworthy AI systems, brain-inspired (neuromorphic) and Boolean computing using emerging nanoscale devices like spintronics, ReRAM, and memristors, nanoscale physics-based spintronic device modeling and simulations, low-power digital VLSI circuit design, and electronic design automation.
Education
- Dr. Deliang Fan received his M.S. and Ph.D. degrees from the School of Electrical, Computer and Energy Engineering, Arizona State University.
Background
- Dr. Deliang Fan is an Associate Professor at the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ. He is the director of the Efficient, Secure and Intelligent Computing (ESIC) Laboratory. His research interests include AI hardware design, in-memory computing, efficient edge AI, secure and trustworthy AI, neuromorphic computing, AI IoT, etc.
Miscellany
- Dr. Deliang Fan welcomes students at all levels to apply to join his team, including undergraduate, master's, and Ph.D. students. Interested candidates can send their CV to dfan@asu.edu.
