PeopleofSuperintelligence

Researcher

Rahul Gulve

Rahul Gulve is a computational-imaging researcher and image-sensor designer whose sensors and papers connect chip design with computer vision. In Toronto, he worked on coded-exposure CMOS image sensors, contributed to a video compressive sensing network in 2020, and earned his PhD in 2023. The 2023 paper Passive Ultra-Wideband Single-Photon Imaging, coauthored with Mian Wei, Sotiris Nousias, David Lindell and Kiriakos Kutulakos, won the ICCV Marr Prize. A software-defined image sensor with motion-adaptive imaging speed followed in 2024. He works at Qualcomm.

Now at
Qualcomm

Timeline

  1. 2020

    Video compressive sensing network

    In 2020, he contributes to End-to-End Video Compressive Sensing Using Anderson-Accelerated Unrolled Networks, a network architecture that jointly optimizes spatial-temporal encoding masks and frame reconstruction methods.

  2. 2022

    A coded-exposure CMOS sensor

    By 2022, he leads a major effort in CMOS sensor design as first author of A 39,000 Subexposures/s CMOS Image Sensor with Dual-tap Coded-exposure Data-memory Pixel for Adaptive Single-shot Computational Imaging.

  3. 2023

    A dual-port image sensor

    He coauthors Dual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding in 2023. The work tackles autonomous driving and drone imaging, where fast motion and rapidly changing illumination cause standard multi-shot HDR techniques to fail.

  4. September 2023

    Completing a Toronto PhD

    He defends his PhD in September 2023 and is counted among the Toronto Computational Imaging Group's PhD alumni of 2023.

  5. October 2023

    The ICCV Marr Prize

    In October 2023, Passive Ultra-Wideband Single-Photon Imaging, which he coauthors with Mian Wei, Sotiris Nousias, David Lindell and Kiriakos Kutulakos, wins the ICCV best paper prize, the Marr Prize. The method passively captures a dynamic scene once, from seconds down to picoseconds, and allows video to be re-rendered across 9+ orders of magnitude in time.

  6. 2024

    A software-defined image sensor

    In 2024, he contributes to 23,000-Exposures/s 360fps-Readout Software-Defined Image Sensor with Motion-Adaptive Spatially Varying Imaging Speed, a software-defined VGA image sensor that adapts to fast local and global scene changes with programmable super-pixels and scalable-rate SAR ADCs.

  7. As of October 2026

    Working at Qualcomm

    After completing his PhD in 2023, he works at Qualcomm.

Career

  1. NowQualcomm

Education

  1. 2023Toronto Computational Imaging GroupPhD

From the biography.

  1. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Qualcomm. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Qualcomm. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  4. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Rahul Gulve yet. Send us a free-licensed photo.

  1. Rahul Gulve — Lacuna lacuna.tiptreesystems.com. Checked 22 October 2026.
  2. Kyros Kutulakos' Home Page cs.toronto.edu. Checked 22 October 2026.
  3. People — Toronto Computational Imaging Group compimaging.dgp.toronto.edu. Checked 22 October 2026.
  4. Passive Ultra-Wideband Single-Photon Imaging (ICCV 2023 Open Access Repository) openaccess.thecvf.com. Checked 22 October 2026.
  5. Passive Ultra-Wideband Single-Photon Imaging dgp.toronto.edu. Checked 22 October 2026.
  6. Sotiris Nousias sotirisnousias.com. Checked 22 October 2026.