Your browser is unsupported

We recommend using the latest version of IE11, Edge, Chrome, Firefox or Safari.


Our research is focused on innovation in the area of energy efficient, high performance, secure VLSI systems.  Special emphasis is placed on co-design across levels of VLSI design abstraction, including design methodologies,  system architectures, algorithms, circuits, and emerging devices. On-going work spans design of artificially intelligent hardware, enabling neuromorphic devices at the circuit and architectural levels, and shifting electronic design automation paradigms through learning.

HiPerCAS is hiring Ph.D. students for Spring and Fall 2023. We are seeking curious and motivated students to conduct fully funded research at the intersection of data science, VLSI design, and electronic design automation. Several individual and collaborative projects with top U.S. universities are available.

Latest News Heading link

09/2022: Received Advising Award!

09/2022: Congratulations to Dmitry for his paper, Multiterminal Pathfinding in Practical VLSI Systems with Deep Neural Networks, accepted for publication in ACM Transactions on Design Automation of Electronic Systems (TODAES).

09/2022: Congratulations to Farid for defending his PhD thesis on Heterogeneous Machine Learning Circuits for Nanoscale Integrated Systems and starting a Silicon Architect position at Google, Mountain View, CA.

Older News