Bio

Priyanka Raina is an Assistant Professor in Electrical Engineering at Stanford University. Previously, she was a Visiting Research Scientist in the Architecture Research Group at NVIDIA​ ​Corporation. She received her Ph.D. degree in 2018 and S.M. degree in 2013 in Electrical Engineering and​ ​Computer Science from MIT and her B.Tech. degree in Electrical Engineering from Indian Institute of Technology​ ​(IIT) Delhi in 2011.​ Priyanka’s current research interests are in the area of designing energy-efficient and high-performance circuits and systems for enabling complex computational photography, computer vision and machine learning based applications on mobile and wearable devices. Her research results include the demonstration of the first hardware-accelerated systems for blind image deblurring (​awarded the best student paper award at ESSCIRC 2016 and ​the​ 2016 ISSCC ​s​tudent ​r​esearch ​p​review ​a​ward), high-dynamic-range and low-light imaging (presented at ISSCC 2013, JSSC 2013) and real-time motion magnification in videos.

Academic Appointments

Honors & Awards

  • Best Young Scientist Paper Award, ESSCIRC 2016 (2017)
  • ISSCC Student Research Preview Award, ISSCC 2016 (2017)
  • Bimla Jain Medal, IIT Delhi (2011)
  • Institute Silver Medal, IIT Delhi (2011)
  • Gold Medal at Indian National Chemistry Olympiad, InChO (2007)

Professional Education

  • B.Tech., Indian Institute of Technology (IIT) Delhi, Electrical Engineering (2011)
  • S.M., Massachusetts Institute of Technology (MIT), Electrical Engineering and Computer Science (2013)
  • Ph.D., Massachusetts Institute of Technology (MIT), Electrical Engineering and Computer Science (2018)

Contact

  • praina@stanford.edu
    University - Faculty Department: Electrical Engineering Position: Asst Professor

Additional Info

  • Mail Code: 4070

Links

Current Research and Scholarly Interests

Priyanka’s current research interests are in the area of designing energy-efficient and high-performance circuits and systems for enabling complex computational photography, computer vision and machine learning based applications on mobile and wearable devices.

2018-19 Courses

All Publications

  • An Energy-Scalable Accelerator for Blind Image Deblurring Raina, P., Tikekar, M., Chandrakasan, A. P. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2017: 1849–62

    View details for DOI 10.1109/JSSC.2017.2682842

    View details for Web of Science ID 000404301300012

  • A 0.6V 8mW 3D Vision Processor for a Navigation Device for the Visually Impaired Jeon, D., Ickes, N., Raina, P., Wang, H., Rus, D., Chandrakasan, A., IEEE IEEE. 2016: 416–U584

    View details for Web of Science ID 000382151400172

  • An Energy-Scalable Accelerator for Blind Image Deblurring Raina, P., Tikekar, M., Chandrakasan, A. P., IEEE IEEE. 2016: 113–16

    View details for Web of Science ID 000386656300026

  • Reconfigurable Processor for Energy-Efficient Computational Photography Rithe, R., Raina, P., Ickes, N., Tenneti, S. V., Chandrakasan, A. P. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2013: 2908–19

    View details for DOI 10.1109/JSSC.2013.2282614

    View details for Web of Science ID 000326265100030

  • Reconfigurable Processor for Energy-Scalable Computational Photography Rithe, R., Raina, P., Ickes, N., Tenneti, S. V., Chandrakasan, A. P., IEEE IEEE. 2013: 164–U972

    View details for Web of Science ID 000366612300065