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## About Me
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I am a Ph.D. candidate (expected February 2026) specializing in **tactile sensing and robotics**. My research focuses on developing advanced haptic technologies and automation systems for robotic applications.
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I am a Ph.D. candidate at Seoul National University (expected February 2026) specializing in **physics-based simulation** and **data generation for robotic learning**. My research addresses the **fidelity-tractability trade-off** in simulating complex physical interactions, particularly involving **deformable structures** and **contact dynamics**.
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To bridge this gap, I develop and validate **abstraction methodologies**, progressing from analytical models for real-time control, to data-driven surrogate models enabling reinforcement learning, and towards Neural Physics Engines (NPEs) for high-fidelity contact modeling. My goal is to create the foundational simulation tools and pipelines needed to generate high-quality, physically-grounded data for training the next generation of physically intelligent robots.
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### Research Interests
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- **Tactile Sensing**: Development of DIGIT sensor technologies
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- **Robotics**: Automation and manipulation systems
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- **Machine Learning**: Neural networks for perception and control
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- **Simulation**: SOFA framework for haptic feedback systems
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- Physics-Based Simulation (FEM, Rigid-Body)
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- Data Generation for Robot Learning (Sim-to-Real, Synthetic Data)
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- Contact Dynamics & Deformable Object Modeling
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- Neural Physics Engines (NPEs) & Learned Simulators
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- Reinforcement Learning for Control
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### Education
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- **Ph.D. in [Your Field]** (Expected Feb 2026)
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[Your University Name]
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- **[Previous Degree]** ([Year])
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[Previous Institution]
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- **Integrated M.S./Ph.D. in Mechanical Engineering** (Expected Feb 2026)
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Seoul National University
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- **B.S. in Mechanical and Aerospace Engineering** (Feb 2019)
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Seoul National University
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### Technical Skills
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- **Programming**: Python, C++, MATLAB
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- **Frameworks**: SOFA, ROS, PyTorch/TensorFlow
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- **Tools**: Git, Linux, Docker
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- **Hardware**: DIGIT sensors, robotic manipulators
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- **Simulation & Modeling**: SOFA (FEM), PyBullet, Isaac Sim, MuJoCo, ABAQUS; Contact Mechanics, Deformable Body Dynamics, Model Order Reduction (MOR)
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- **Machine Learning**: Python (PyTorch, TensorFlow, NumPy, SciPy), C++, MATLAB; Reinforcement Learning (RL - PPO, SAC), PINNs, Transformers, GNNs
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- **Robotics & Control**: ROS2, Control Systems Design, Sim-to-Real Transfer, Sensor Calibration & Integration (Tactile, Force, Proprioceptive)
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- **Hardware & Design**: SolidWorks, Blender, Onshape, AutoCAD; Mechanical Design, Prototyping (Soft Robots, Actuators)
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### Contact
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- **Email**: [[email protected]]
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- **Email**: [[email protected]](mailto:[email protected])
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- **GitHub**: [github.com/ndolphin-github](https://github.com/ndolphin-github)
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- **LinkedIn**: [www.linkedin.com/in/tae-hwa-hong-021b8725b]
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- **LinkedIn**: [linkedin.com/in/tae-hwa-hong-021b8725b](https://www.linkedin.com/in/tae-hwa-hong-021b8725b)
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- **Google Scholar**: [scholar.google.co.kr/citations?user=kzrORlsAAAAJ&hl=ko](https://scholar.google.co.kr/citations?user=kzrORlsAAAAJ&hl=ko)
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*Feel free to explore my research posts and publications on this site.*
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*Feel free to explore my [Projects](link-to-projects-page) and [Publications](link-to-publications-page) for more details on my work.*

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