Yu Cao

Yu Cao is an Adjunct Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU). He holds a Ph.D. in Electrical Engineering from the University of California, Berkeley (2002), an M.A. in Biophysics (1999), and a B.S. in Physics from Peking University (1996). His research focuses on nanoscale technology modeling, variability and reliability in electronics, and hardware design for on-chip learning. Key interests include predictive technology modeling, post-silicon integration, and energy-efficient semiconductor devices.

Dr. Cao has led multiple grants funded by NSF, Samsung, Semiconductor Research Corporation, and academic institutions. His work emphasizes bridging technology and design automation gaps in nanometer-scale integration. Courses taught include VLSI design, digital systems, and graduate research supervision. He has authored two books and numerous articles on nano-CMOS modeling and physical design.

His recent research advances include stable, efficient organic light-emitting diodes (OLEDs) and electrochromic devices leveraging phosphorescent molecular aggregates. These innovations address challenges in color stability, energy efficiency, and device lifetime.

Notable grants include NSF-funded projects on hardware and algorithms for on-chip learning (2015–2016) and low-power bio-signal processing (2015–2016). His contributions span semiconductor reliability, nanoelectronic device applications, and predictive circuit simulation techniques.