PeopleofSuperintelligence

Researcher

Jonghyun Kim

Jonghyun Kim is a senior research scientist at NVIDIA Research whose work applies AI to holographic and light-field displays. He earned a PhD in electrical and computer engineering from Seoul National University and joined NVIDIA Research in 2017. A glasses-form AR demo earned him SIGGRAPH's 2019 Best in Show Award in Emerging Technologies, and he coauthored neural-holography research at Stanford in 2021. His work includes time-multiplexed holography in 2022, Play4D and AI 3D Selfie in 2025, and G2LF's real-time rendering for light-field displays in 2026. As of October 2026, he works on near-eye AR/VR, light-field and holographic displays at NVIDIA Research.

Now at
NVIDIA
Works
35
Citations
66
h-index
6
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2017

    A PhD and NVIDIA Research

    In 2017, he earns a PhD in electrical and computer engineering from Seoul National University and joins NVIDIA Research.

  2. 2019

    A SIGGRAPH 2019 award

    A glasses-form AR demo earns him SIGGRAPH's 2019 Best in Show Award in Emerging Technologies.

  3. 2021

    Neural holography at Stanford

    At Stanford in 2021, he is a visiting scholar from NVIDIA and coauthors two papers on neural holography. The methods use neural networks to model display physics and camera-in-the-loop calibration to improve hologram quality in real time.

  4. 2022

    Time-multiplexed neural holography

    He coauthors Time-multiplexed Neural Holography in 2022, a flexible framework that optimizes heavily quantized phase patterns on fast spatial light modulators. The framework supports 2D and 2.5D RGBD images, 3D focal stacks, and 4D light fields.

  5. 2025

    Play4D video streaming

    In 2025, he coauthors Play4D, an accelerated, interactive method for free-viewpoint video streaming to virtual-reality and light-field displays.

  6. 2025

    AI 3D Selfie

    In 2025, he coauthors AI 3D Selfie, a paper on real-time single-image 3D face reconstruction for light-field displays.

  7. 2026

    G2LF radiance-field rendering

    In 2026, he coauthors G2LF, a unified framework for real-time radiance-field rendering on light-field displays. Its Looking Glass demo renders 45 views at 512p at 200+ FPS.

  8. As of October 2026

    Senior research scientist

    As of October 2026, he is a senior research scientist with NVIDIA Research. His research interests include near-eye AR/VR, light-field displays, and holographic displays.

Career

  1. Since 2017NVIDIASenior research scientist
  2. 2023–2025Seoul National University
  3. 2021Stanford UniversityVisiting scholar
  4. 2015–2017Yonsei University

Education

  1. 2017Seoul National UniversityPhD

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Permuted Coordinate-Wise Optimizations Applied to Lp-Regularized Image Deconvolution2018 · IEEE Transactions on Image Processing · 10 citations
  2. Autonomous Algorithm for Safety Systems of the Nuclear Power Plant by Using the Deep Learning2017 · Advances in intelligent systems and computing · 9 citations
  3. Color Demosaicing of RGBW Color Filter Array Based on Laplacian Pyramid2022 · Sensors · 9 citations
  4. Crosstalk Correction for Color Filter Array Image Sensors Based on Lp-Regularized Multi-Channel Deconvolution2022 · Sensors · 8 citations
  5. HyperCLOVA X Technical Report2024 · 8 citations

From OpenAlex, as of 21 October 2026.

  1. Google has the highest combined h-index among AI organizationsIncludes NVIDIA. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  2. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes NVIDIA. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.
  3. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes NVIDIA. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  4. Universities (31%) and startups and other companies (25%) employ the largest shares of 2020–2026 entrantsIncludes NVIDIA. Among 819 people whose first recorded role started in 2020–2026 and who have a known current organization, 60% work in commercial sectors (25% at startups and other companies, 23% at frontier labs and 13% at big tech, with 9 in two), and 31% work at universities, compared with 66% for earlier entrants.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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

  1. Author: Jonghyun Kim | NVIDIA Technical Blog developer.nvidia.com. Checked 21 October 2026.
  2. Researchers are using AI to create better virtual reality experiences | Stanford University School of Engineering engineering.stanford.edu. Checked 21 October 2026.
  3. Jonghyun Kim | Research research.nvidia.com. Checked 21 October 2026.
  4. [2205.02367] Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators arxiv.org. Checked 21 October 2026.
  5. Real-time 3D Visualization of Radiance Fields on Light Field Displays research.nvidia.com. Checked 21 October 2026.
  6. GitHub - NVlabs/g2lf: Real-time 3D Visualization of Radiance Fields on Light Field Displays · GitHub github.com. Checked 21 October 2026.