Welcome to NIMO Group
Research interests focus on modeling and design techniques for reliable, low-power and high-performance systems, driven by advances in nanoelectronics and information analytics.
Advancing the state of the art in interdisciplinary solutions for robust intelligent system design.
Research Highlights
- Neural-inspired computing for learning on-a-chip, with high energy efficiency.
- Hardware acceleration for intelligent systems.
- Reconfigurable design of circuits and systems.
- Cross-layer design for reliability.
- Exploratory design with emerging technologies.
Contact
Yu Cao
School of Electrical, Computer and Energy Engineering
- [email protected]
- 480/965-1472
- ISTB4 563
Cao’s research interests include physical modeling of nanoscale technologies, design solutions for variability and reliability, reliable integration of post-silicon technologies, and hardware design for on-chip learning.
Location
ISTB4 563
781 E Terrace Road
Arizona State University
Tempe, AZ 85287
News
Zhenyu received the Best Student Poster Award at the 5th IBM IEEE CAS and EDS AI Compute Symposium. Congratulations! [10/22]
Gokul completed his Ph.D. and joins Meta [08/2022]
Our collaborative paper received teh Best IP Award at DATE 2022. [03/2022]
Professor Cao is selected as the Distinguished Lecturer by IEEE CASS. [01/2022]
Gokul Krishnan received the Outstanding Research Award from the GPSA Office of Professional Development, ASU. Congratulations! [04/2021]
Professor Cao received Intel Outstanding Researcher Award [02/2021]
Xiaocong and Zheng completed their Ph.D. and join Facebook, CA [10/2020]
Ang completed his Ph.D. [09/2020]
Gokul Krishnan received the Joseph A. Barkson Fellowship from Arizona State University. Congratulations! [04/2020]
Top 10 Best Student Presenter Award to Xiaocong at TECHCON. Congratulations! [9/2019]
Abinash completed his Ph.D. and is with Amazon, CA [10/2018]
Zihan completed his Ph.D. and is with Google [12/2017]