I am a Ph.D. student at Korea University, advised by Prof. Sangpil Kim. My research explores the internal structures of AI models to solve challenges across diverse domains, spanning autonomous systems for vehicles and robotics, multimodal generative models, and AI safety.
Previously, I served as a Visiting Graduate Researcher at University of California, Los Angeles (UCLA), advised by Prof. M. Khalid Jawed. In this role, I led a Smart Farm project team, driving the end-to-end deployment of robotics—specifically UGVs and manipulators—from mechanical machining and sensor integration to software, AI, and field operations.
Mar 2024 – Feb 2029 (exp.)
Mar 2025 – Mar 2026
Detecting path deviation via internal attention heads of a frozen VLA model. Local obstacle avoidance RL enables stable navigation and direct path recovery. Full pipeline implemented with ROS2 and LIVO for real-world validation.
An eye-in-hand RGB-D sensor enables 3D modeling and ML-based skeletonization of plant stems. Physics simulation then determines the optimal grasp point and vibration amplitude for end-to-end autonomous robotic pollination.
A large-scale multi-modal dataset using a custom field robot to capture continuous crop growth and severe lighting variability. Provides a rigorous in-the-wild benchmark to drive robust 3D reconstruction models for agriculture.
A proactive defense framework that protects facial images from deepfake threats by embedding imperceptible adversarial perturbations, disrupting synthesis without visible degradation.
Audio-to-video generation for semantically complex scenes using audio source separation, mapping individual sound sources to corresponding visual content.
Generates videos depicting multiple sequential events from text descriptions by leveraging text-to-video diffusion models with event-aware temporal control.
Semantically complex audio to video generation with audio source separation
Engineering Applications of Artificial Intelligence (EAAI, JCR IF Top 10%), 2025