Bochang Moon

He is an associate professor in Department of AI Convergence at Gwangju Institute of Science and Technology (GIST), where he is leading the Computer Graphics Laboratory. Prior to joining GIST, he was a postdoctoral researcher at Disney Research (UK based). He received his MS and Ph.D in Computer Science from KAIST, in 2010 and 2014, respectively. His research focuses on efficient algorithms for Monte Carlo rendering, image denoising, and differentiable rendering.
CV

• Monte Carlo rendering
• Image denoising for physically based rendering
• Differentiable and inverse rendering
• Physically based rendering

• Ph.D., Computer Science at KAIST (Feb. 2010 - Aug. 2014)
  Thesis: Acceleration Techniques for Monte Carlo Ray Tracing (Advisor: Sung-Eui Yoon)
• M.S., Computer Science at KAIST (Feb. 2008 - Jan. 2010)
  Thesis: Cache-Oblivious Ray Reordering (Advisor: Sung-Eui Yoon)
• B.S., Computer Engineering at Chung-Ang university (Mar. 2004 - Feb. 2008)
  Graduated summa cum laude (GPA: 4.35/4.50) from the college of engineering

• Associate Professor at Gwangju Institute of Science and Technology (GIST), Korea, Mar. 2022 - present
• Assistant Professor at Gwangju Institute of Science and Technology (GIST), Korea, Sep. 2016 - Feb. 2022
• Post-Doctoral Researcher at Disney Research Zurich (UK based), Nov. 2014 - July 2016
• Post-Doctoral Researcher at KAIST, Sep. 2014 - Oct. 2014
• Research Intern, Adobe Systems Inc. (USA), Jun. 2011 - Sep. 2011

• Best Paper Award at ACM SIGGRAPH Asia 2022
  Related work: Neural James-Stein Combiner for Unbiased and Biased Renderings
• Author Service Award (Editor of Distinction Awards), Springer Nature, 2026
  In recognition of editorial service as an Associate Editor for The Visual Computer
• Best Paper Honorable Mention: Pacific Graphics 2018
  Related work: Feature Generation for Adaptive Gradient-Domain Path Tracing
• GIST Education Innovation Award 2024
• GIST Teaching Award 2021
• Significant New Researcher Award at Korea Computer Graphics Society 2014
• 1st place at ACM Student Research Competition held at ACM SIGGRAPH 09
  3rd place at the ACM Grand Finals
  Related Work "RACBVHs: Random-Accessible Compressed Bounding Volume Hierarchies"

• Associate Editor: The Visual Computer (2016 - present)
• Program Committee: SIGGRAPH Asia Technical Communications and Posters 2020, SIGGRAPH Asia CoI Coordinator 2025; EGSR 2017–2019, 2024–2025; I3D 2018–2019; Pacific Graphics 2019, 2022; CGI 2018–2026; GI 2022–2024, 2026; AAAI 2023
• Reviewer: ACM SIGGRAPH, ACM SIGGRAPH ASIA, ACM Transactions on Graphics, IEEE TVCG, Eurographics, Pacific Graphics, EGSR, Visual Computer, IEEE VR, etc.