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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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