6+
Core Projects
Excellence as a Habit
M.Eng. Candidate in Intelligent Technology | AI Medical Imaging & Edge Intelligence
I am currently pursuing a master's degree at Macau University of Science and Technology. My work focuses on medical image analysis, wafer defect detection, robotics, and edge-side AI deployment from data processing to model validation.
Core Projects
Competition Awards
Selected Papers
Patents & IP
Grounded execution with long-term research perspective.
Certified field: Computer Science and Technology (Intelligent Technology)
GPA: 3.81 / 4.00
Thesis: Improved Classification Method for Semiconductor Wafer Surface Defects
GPA: 3.54 / 4.00 · Weighted Score: 88.36 / 100.00
Graduation Project: High-Performance Operational Amplifier Design Based on Cadence
Medical AI, industrial vision, and robotic systems.
Built a semi-automatic pipeline of pre-annotation, manual correction, and data feedback iteration for small-sample medical labeling tasks.
Developed classification and severity models with residual network enhancement for better stability on small-sample datasets.
Implemented a machine-learning binary classifier with 95% accuracy and evaluated deployment feasibility on low-compute devices.
Optimized YOLO-based detection models and deployed on NVIDIA Jetson Orin with 10ms-level response in real-time inference.
Worked on LiDAR point-cloud mapping, path navigation, topic-based communication, and simulation debugging in Linux workflows.
Contributed to cognitive assessment and voice interaction modules with MRI-based analysis and Raspberry Pi 3B integration.
Open to research collaboration, internships, and technical project opportunities.