Ph.D. Student · UCLA
Department of Computer Science, UCLA
Advised by Prof. M. Khalid Jawed & Prof. Wei Wang
I am a first-year Ph.D. student at UCLA, working on Robotics AI. My research focuses on high-intelligence autonomous navigation in large-scale agricultural environments, using SLAM, VLM, and Semantic Mapping.
Ph.D. in Computer Science
Advisors: Prof. M. Khalid Jawed & Prof. Wei Wang
Research Area: Robotics, Computer Vision, VLA Models
M.S. in Mechanical Engineering
Advisors: Prof. M. Khalid Jawed
Research Area: Computer Vision, NeRF
CONNECTIVE Inc.
Designed a framework for composite image generation to address data scarcity in medical X-ray datasets
VRCrew Inc.
Developed a visual positioning system (VPS) for a VR application, estimating user location using mobile devices
Korea Institute of Science and Technology
Proposed a performance restoration method for pruned networks using knowledge distillation with synthetic data generated via network inversion
Saige Research Inc.
Implemented OCR models to automate manufacturing processes
A semantic consistency benchmark for evaluating Vision-Language Models on agricultural crop-row environments. Compares CLIP, OpenCLIP, DINOv2, EVA-CLIP, and SigLIP across CSC, SSC, and TSC metrics with UMAP visualizations and LaTeX output.
End-to-end LiDAR-inertial SLAM pipeline for large-scale outdoor farm mapping. Generates 2D occupancy grids with obstacle detection from point clouds using local height comparison and morphological operations.
The framework, DiffusionMix, combines two Denoising Diffusion Probabilistic Models (DDPMs), with one specialized for background generation and the other for object, such as implant, generation along with corresponding segmentation masks, enabling controlled and realistic image composition.