Dr. Subhasish Mitra

Professor

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Biography

Subhasish Mitra holds the William E. Ayer Endowed Chair Professorship at Stanford University, serving in the Department of Electrical Engineering and the Department of Computer Science. He directs the Stanford Robust Systems Group and is a member of the leadership team for the Microelectronics Commons AI Hardware Hub, which is funded by the CHIPS Science Act. His research spans Robust Computing, NanoSystems, Electronic Design Automation (EDA), and Neurosciences, with significant contributions influencing government research initiatives in multiple countries. Mitra has held distinguished academic positions internationally, including the Carnot Chair of Excellence at CEA-LETI in France and as an invited professor at EPFL in Switzerland. His work has led to innovations in circuit failure prediction and system validation, with applications across various industries such as cloud computing and automotive systems. Recognized for his contributions, he has received several prestigious awards including the Harry H. Goode Memorial Award from the IEEE Computer Society and the Intel Achievement Award. Throughout his career, he has mentored students who have published numerous award-winning papers in leading conferences and journals, reflecting his impact in the fields of design automation and microelectronics.

Research Interests

Experience

Professor

2021-01-01 — Present

Stanford University • Stanford, California

Holds the William E. Ayer Endowed Chair Professorship and directs research in robust systems.

Awards

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Harry H. Goode Memorial Award

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Newton Technical Impact Award

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University Researcher Award

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.