Subhasish Mitra is Professor of Electrical Engineering and of Computer Science at Stanford University. He directs the Stanford Robust Systems Group, leads the Computation Focus Area of the Stanford SystemX Alliance, and is a member of the Wu Tsai Neurosciences Institute. His research ranges across Robust Computing, NanoSystems, Electronic Design Automation (EDA), and Neurosciences. Results from his research group have influenced almost every contemporary electronic system, and have inspired government and research initiatives in multiple countries. He has consulted for major companies including Cisco, Google, Intel, Samsung, and Xilinx. In the field of Robust Computing, he has created many key approaches for circuit failure prediction, on-line diagnostics, QED system validation, soft error resilience, and X-Compact test compression. Their adoption by industry is growing rapidly, in markets ranging from cloud computing to automotive systems. His X-Compact approach has proven essential for cost-effective manufacturing and high-quality testing of almost all 21st-century systems, enabling billions of dollars in cost savings.
With his students and collaborators, he demonstrated the first carbon nanotube computer. They also demonstrated the first 3D NanoSystem with computation immersed in data storage. These received wide recognition: cover of NATURE, Research Highlight to the US Congress by the NSF, and highlight as “important scientific breakthrough” by global news organizations.
Prof. Mitra’s honors include the Newton Technical Impact Award in EDA (test-of-time honor by ACM SIGDA/IEEE CEDA), the University Researcher Award (by the Semiconductor Industry Association and Semiconductor Research Corporation to recognize lifetime research contributions), the Intel Achievement Award (Intel’s highest honor), and the US Presidential Early Career Award. He and his students have published over 10 award-winning papers across 5 topic areas (technology, circuits, EDA, test, verification) at major venues. Stanford undergraduates have honored him several times “for being important to them.” He is an ACM Fellow and an IEEE Fellow.
2022 Harry H. Goode Memorial Award
“For sustained contributions to design and test of computing systems in established and emerging
Learn more about the Harry H. Goode Memorial Award