Yu Cao

Yu (Kevin) Cao is a prominent professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU). He specializes in areas such as nano-CMOS technology, circuit reliability, and design solutions for variability.

Educational Background

• B.S. in Physics: Peking University, China (1996)
• M.A. in Biophysics: University of California, Berkeley (1999)
• Ph.D. in Electrical Engineering: University of California, Berkeley (2002)

Academic and Professional Experience

• Assistant Professor: Joined ASU in 2004, progressing to Associate Professor (2009) and then to Professor (2015).
• Post-Doctoral Researcher: Conducted research at the Berkeley Wireless Research Center after completing his Ph.D.
• Visiting Associate Professor: Kyoto University, Japan (2013-2014).

Research Interests

Cao's research focuses on:

• Predictive technology models for circuit design.
• Physical modeling of nanoscale technologies.
• Reliable integration of post-silicon technologies.
• Hardware design for on-chip learning.

He has published extensively, contributing numerous articles and two books on the subject of nano-CMOS modeling and physical design. His work has garnered recognition, including being named an IEEE Fellow in 2017 for his contributions to predictive technology models.

Teaching and Recognition

Cao has received multiple teaching awards, consistently ranking in the top 5% of instructors within the Ira A. Fulton Schools of Engineering at ASU. He has also been involved in various professional committees and conferences, enhancing his visibility in the engineering community.

For more detailed information about his work and contributions, you can refer to his profile on the ASU website or his LinkedIn page .123