Sehoon Ha
Assistant Professor at Georgia Institute of Technology
Atlanta, Georgia, United States
Summary
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Top SchoolSehoon Ha is an assistant professor at Georgia Tech with 14 years of experience at the intersection of robotics, animation, and computational science, blending academic leadership with industry research roles at Google/Google Brain and Disney Research. He holds a PhD from Georgia Tech and has a strong track record in dynamics, contact modeling, and simulation—contributions that include back-end enhancements to the widely used DART robotics toolkit such as contact dynamics, material support, and SDF model integration. His work bridges foundational research and practical tooling for simulation-driven robotics, informed by postdoctoral training under leading motion synthesis advisors. Based in Atlanta, he combines deep technical implementation skills with a researcher's curiosity about physical realism in virtual systems, often translating theoretical advances into reusable open-source components.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy, Computational Science, Doctor of Philosophy, Computational Science at Georgia Institute of TechnologyBachelor of Science, Computational Science, Bachelor of Science, Computational Science at 한국과학기술원(KAIST)
Github Skills (10)
collision-detection10
c-language10
robotics10
cprogramming-language10
kinematics10
dynamics10
cmake7
web-animations6
animation6
animate6
Programming languages (2)
Github contributions (5)
dartsim/dart
Sep 2011 - Feb 2017
DART: Dynamic Animation and Robotics Toolkit
Role in this project:
Back-end Developer
Back-end DeveloperContributions:15 commits, 6 PRs, 6 pushes in 5 years 6 months
Contributions summary:Sehoon primarily contributed to the back-end functionality of the DART toolkit, as evidenced by their modifications to the collision detection and contact dynamics modules. They added skeleton code for contact dynamics, including the implementation of a `ContactDynamic` class, its associated methods and data structures, and the necessary interaction with the collision system. Additionally, the user adapted existing code to provide material support and integrated SDF file parsing, which suggests efforts to enhance the toolkit's usability and feature set by importing models with rich, pre-defined properties.
kinematicsroboticsanimationcomputer-animationsimulation
sehoonha/phd-proposal
Feb 2014 - Apr 2014
Contributions:28 commits in 2 months
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