Jaesung Park

https://jaesung-cs.github.io/

Education

• Ph.D. in Computer Science, University of North Carolina at Chapel Hill, USA, Sep 2015 – May 2020
  • Advised by Prof. Dinesh Manocha
  • Research interests: robot motion planning, machine learning, collision detection
• B.S., in Computer Science, Seoul National University, South Korea, Mar 2011 – Feb 2015
  • Computer science major, mathematics minor
  • GPA: 4.06/4.30 (cumulative), 4.22/4.30 (major), Summa Cum Laude

Work Experience

• Presto Labs, Presto Research, Quant Researcher, Sep 2023 – Present
• NAVER LABS, Research Software Engineer, Feb 2022 – Sep 2023 (1yr 8mo)
  • NeRF, neural rendering, CUDA programming, WebGL rendering
• Cupix, Research Software Engineer, Jul 2020 – Feb 2022 (1yr 8mo)
  • Massive point cloud processing and rendering, photogrammetry, computational geometry
• Moloco, Software Engineer Intern, May – Aug 2017
  • Data analysis and data infra engineering
• Samsung Code Mentoring, instructor, May – Jul 2015
• International Olympiad in Informatics (IOI), student Coach of the Korea team, 2014
• Korea Olympiad in Informatics (KOI), coach and problem setter, 2011 – 2015
• International Olympiad in Informatics (IOI) Training Camp in Korea, coach and problem setter, 2010 – 2015

Research Experience

• Learning-Based Human Intention Prediction, 2016 – 2020
  • Jae Sung Park, Dinesh Manocha. HMPO: Human Motion Prediction in Occluded Environments for Safe Motion Planning. Robotics: Science and Systems (RSS), 2020.
  • Jae Sung Park, Biao Jia, Mohit Bansal, Dinesh Manocha. Generating Realtime Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping. IEEE International Conference on Robotics and Automation (ICRA), 2019.
  • Jae Sung Park, Chonhyon Park, Dinesh Manocha. Human Motion Prediction from Noisy Point Cloud Data for Human-Robot Interaction. IEEE RO-MAN workshop on Communicating Intentions in Human-Robot Interaction, 2016.
• Learning-Based Human Intention Prediction, 2016 – 2020
  • Jae Sung Park, Dinesh Manocha. HMPO: Human Motion Prediction in Occluded Environments for Safe Motion Planning. Robotics: Science and Systems (RSS), 2020.
  • Jae Sung Park, Biao Jia, Mohit Bansal, Dinesh Manocha. Generating Realtime Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping. IEEE International Conference on Robotics and Automation (ICRA), 2019.
  • Jae Sung Park, Chonhyon Park, Dinesh Manocha. Human Motion Prediction from Noisy Point Cloud Data for Human-Robot Interaction. IEEE RO-MAN workshop on Communicating Intentions in Human-Robot Interaction, 2016.
• Probabilistic Collision Detection Under Uncertainty, 2016 – 2020
  • Jae Sung Park, Dinesh Manocha. Efficient Probabilistic Collision Detection for Non-Gaussian Noise Distributions. IEEE Robotics and Automation Letters 5.2 (2020): 1024-1031.
  • Chonhyon Park, Jae Sung Park, Dinesh Manocha. Fast and Bounded Probabilistic Collision Detection for High-DOF Trajectory Planning in Dynamic Environments. IEEE Transactions on Automation Science and Engineering (TASE) 15 (3), 980-991, 2018.
  • Jae Sung Park, Chonhyon Park, Dinesh Manocha. Efficient Probabilistic Collision Detection for Non-Convex Shapes. IEEE International Conference on Robotics and Automation (ICRA), 1944-1951, 2017.
  • Jae Sung Park, Chonhyon Park, Dinesh Manocha. Fast and Bounded Probabilistic Collision Detection for High-DOF Robots in Dynamic Environments. Workshop on Algorithmic Foundations of Robotics (WAFR), 2016.
• Sweep-Based Surface Modeling, 2013 – 2014
  • Jaesung Park, Minsub Shim, Seon-Young Park, Yunku Kang, Myung-Soo Kim. Realistic deformation of 3D human blood vessels. Computer Animation and Virtual Worlds 24.3-4 (2013): 317-325.
  • Seon-Young Park, Jaesung Park, Minsub Shim, Yunku Kang, Myung-Soo Kim. Sweep-based Compression and Deformation of 3D Blood Vessel Models. HCI 2013 (2013): 11-14.

Awards

• ACM International Collegiate Programming Contest (ACM-ICPC)
  • World Finals: 51st place (2015), 36th place (2012)
  • Asia Daejeon Regional: 1st place (2014), 5th place (2013), 3rd place (2012), 1st place (2011)
• Asia Pacific Informatics Olympiad (APIO): Gold Medal (1st place, 2009)
• International Olympiad in Informatics (IOI): Gold Medal (2009), Silver Medal (2008)
• Korea Computer Graphics Society Thesis Competition: Excellence Prize (2014)
• Korean Mathematical Competition for University Students, Major Division: Bronze Prize (2013, 2014)
• Undergraduate Research Program (URP): First Prize (2012)

Programming Skills

• CUDA, Vulkan, OpenGL, WebGL
• c++, python, javascript, typescript

Scholarship/Assistantship

• Doctoral Merit Assistantship, University of North Carolina at Chapel Hill, 2015
• National Science and Engineering Undergraduate Scholarship, South Korea, 2011-2014

Codes

• My personal Vulkan projects for the purpose of learning and for fun
  • vkgs
    • Gaussian Splatting viewer written in Vulkan
  • vk_radix_sort
    • Radix sort in Vulkan
    • Fast enough for Gaussian Splatting
  • mesh2glb
    • Sample code of transpiling c++ to WebAssembly using emscripten and GitHub Pages deploy
  • vkovr
    • Oculus VR SDK with Vulkan
  • superlucent
    • Vulkan physics simulation and rendering
    • To run simulation and rendering on GPU without CPU-GPU data transfer
    • Smoothed Particle Hydrodynamics (SPH) fluid simulation on GPU
    • Spatial Hashing for collision detection
  • elasticize
    • Vulkan compute
    • Radix sort on GPU with Vulkan subgroup