Fadi Kurdahi

Fadi Kurdahi

I'm a faculty member in the Department of Electrical Engineering and Computer Science at UC Irvine, where I've been since 1987. I currently direct the Center for Embedded and Cyber-Physical Systems and the Master of Embedded and Cyber-Physical Systems program, which I founded to address the growing demand for expertise in this area.

My research focuses on VLSI system design, digital systems automation, and embedded and cyber-physical systems. From 2017 to 2022 I served as Associate Dean for Graduate and Professional Studies at the Samueli School of Engineering. I also hold a joint appointment in the Donald Bren School of Information and Computer Sciences.

I earned my M.S. and Ph.D. in Computer Engineering from USC, and my undergraduate degree from the American University of Beirut. I'm a Fellow of IEEE and AAAS.

2025 — Present
Distinguished ProfessorEECS, UC Irvine
Current
2022 — Present
Director, MECPS ProgramUC Irvine
Current
2012 — Present
Director, CECSCenter for Embedded & Cyber-Physical Systems
Current
2017 — 2022
Associate DeanSamueli School of Engineering
5 yrs
1998 — 2025
ProfessorEECS, UC Irvine
27 yrs
1993 — 1998
Associate ProfessorEECS, UC Irvine
5 yrs
1987 — 1993
Assistant ProfessorEECS, UC Irvine
6 yrs
1987
Ph.D., Computer EngineeringUniversity of Southern California
USC
1983
M.S., Computer EngineeringUniversity of Southern California
USC
1981
B.E., Electrical EngineeringAmerican University of Beirut
AUB
2016
Best Paper AwardIEEE Asia-Pacific Design Automation Conference
2009
AAAS FellowAmerican Association for the Advancement of Science
2008
Distinguished Alumnus AwardAmerican University of Beirut
2006
Best Paper AwardIEEE Int'l Conference on Quality Electronic Design
2005
IEEE FellowInstitute of Electrical and Electronics Engineers
2002
Best Paper AwardIEEE VLSI Transactions

VLSI System Design & Automation

High-level synthesis, custom datapath design, and methodologies for moving from specification to silicon.

Embedded & Cyber-Physical Systems

Computing systems that engage with the physical world — across biomedical, mobile, and real-time applications.

Low-Power Process-Aware SoCs

Co-design across the stack: making the tradeoff between energy, performance, and process variability explicit.

Reconfigurable Computing

Programmable fabrics and adaptive architectures bridging flexibility and the efficiency of dedicated hardware.

Office
Engineering Hall, Room 3207
UC Irvine, CA 92697
Accent