Experience

Research Experience

Kean University | June 2025 – Present

Selected as NSF-funded research assistant under the supervision of Prof. Kuan Huang
Contributing to a journal-targeted study on medical image segmentation using ultrasound datasets
Responsibilities include algorithm development, experimental design, and manuscript preparation
Working on cutting-edge weakly supervised learning techniques for medical imaging applications

Kean University | Dec 2024 – May 2025

Designed a dual-stage active learning framework to improve weakly supervised tumor segmentation using image-level labels in BUS ultrasound datasets
Developed CAM filtering with HSV-based contour constraints and used SAM to generate refined pseudo labels from selected high-quality CAMs
Integrated a Mean Teacher segmentation model with iterative uncertainty-based structure
Achieved 68.25% IoU and 79.39% DSC on BUSI dataset
First-author paper accepted at IEEE-BIBM 2025, supervised by Prof. Kuan Huang
Appointed as research assistant under NSF funding, contributing to project design, experimentation, and publication

Kean University | Sept 2024 – Dec 2024

Developed a synthetic medical image pipeline using Variational Autoencoders (VAE) and Diffusion Models to augment breast ultrasound datasets for weakly supervised segmentation
Training a latent VAE embedder and conditional diffusion model on BUSI dataset
Designed experiments using diffusion-generated images and weak labels to evaluate their impact on downstream segmentation performance

Wenzhou-Kean University | Sep 2023 – May 2024

Joined Prof. Gupta’s Vision-AI Lab to support projects in computer vision and medical imaging
Participated in a SPF-funded initiative focused on raw image denoising using Bayer pattern modeling
Worked on latent space extensions and codebase adaptation based on a prior CVPR 2022 Workshop project developed by a former lab member under the same advisor

Wenzhou-Kean University | Feb 2023 – June 2023

Developed a program that captures patients’ hand movements and provides real-time feedback for rehabilitation assessment
Earned the Outstanding Presentation award at WKU Research Day for demonstrating prototype results
Utilized computer vision and machine learning techniques for healthcare applications

Wenzhou-Kean University | Jan 2024 – Jun 2024

Managed and planned club operations, overseeing departmental organization and project planning
Led strategic initiatives that increased active membership and project participation by 30%
Organized technical workshops, coding competitions, and industry networking events
Coordinated with faculty and administration to enhance the computer science program

Wenzhou-Kean University | Aug 2022 – May 2024

Assisted faculty with event promotion and day-to-day coordination of academic activities
Streamlined scheduling workflows, improving operational efficiency across departmental projects
Supported research administration and student academic services
Facilitated communication between students, faculty, and administration

Programming Languages: Java, Python, C#, SQL, MATLAB

ML/DL Frameworks: PyTorch, TensorFlow, Scikit-learn, OpenCV, SAM (Segment Anything Model)

Tools & Technologies: Git, Linux, Docker, CUDA, Jupyter Notebooks

Specialized Skills: Medical Image Processing, Computer Vision, Active Learning, Weakly Supervised Learning

Creative Tools: Adobe Premiere Pro, Photoshop, Audition

Software Engineering: Object-Oriented Design, System Testing, Technical Writing