Dr. Priyanka Raina

Associate Professor

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Biography

Priyanka Raina is an Associate Professor of Electrical Engineering at Stanford University, with courtesy appointments in Computer Science. She earned her B.Tech. in Electrical Engineering from the Indian Institute of Technology Delhi in 2011 and subsequently completed her M.S. and Ph.D. at the Massachusetts Institute of Technology in 2013 and 2018, respectively. Her research focuses on domain-specific hardware architectures and agile hardware-software co-design methodologies. Raina has held a position as a Visiting Research Scientist at NVIDIA Corporation in 2018. Throughout her academic career, she has been recognized with numerous awards such as the DARPA Young Faculty Award in 2024, the Sloan Research Fellowship in 2024, and the NSF CAREER Award in 2023. She has also received several prestigious paper awards in recent conferences and publications including IEEE Journal of Solid-State Circuits and VLSI. In addition to her teaching and research responsibilities, she serves as an Associate Editor for leading journals in her field.

Research Interests

Awards

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DARPA Young Faculty Award

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Sloan Research Fellowship

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NSF CAREER Award

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VLSI Demo Paper Award

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IEEE Journal Solid-State Circuits Paper Award

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Paper Award MICRO

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Young Scientist Paper Award ESSCIRC

Courses

EE 309A CS 499 CS 499P EE 300 EE 191 EE 391 EE 190 EE 390 EE 272 EE 372 EE 309B EE 271

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.