Members Overview
Principal investigator, full-time assistants, graduate students, undergraduate project teams, international students, and alumni.
Principal Investigator
Wan-Jung Chang Professor
Wan-Jung Chang, Ph.D.
EDUCATION
Ph.D., Computer and Network Group,
Institute of Electrical Engineering, National Cheng Kung University
AFFILIATIONS
RESEARCH INTERESTS
Full-Time Assistants
孫婉怡
Senior Full-Time ManagerPrimary Responsibilities
- ● Public-sector project schedule and budget management
- ● Support the Ministry of Labor AI Smart Manufacturing Talent Training Hub project
- ● Official correspondence and administrative affairs
- ● Ad hoc assignments
07-3814526 #15650
林穎琪
Full-Time ManagerPrimary Responsibilities
- ● Laboratory operations
- ● Public-sector project schedule and budget management
- ● Industry-academia collaboration progress tracking
- ● Ministry of Labor project progress tracking
- ● Official correspondence and administrative affairs
- ● Ad hoc assignments
07-3814526 #15650
邱于菁
Full-Time ManagerPrimary Responsibilities
- ● Contact window for the Ministry of Labor AI Smart Manufacturing Talent Training Hub project
- ● Official correspondence and administrative affairs
- ● Ad hoc assignments
07-3814526 #15678
Student Roster
No PhD students are currently listed
We welcome motivated students interested in advanced intelligent systems.
PhD Students Recruiting
Academic Year 113 Enrollment
M2 2 members
賴穎寬
M2Research Topic: 基於人工智慧低解析熱影像骨幹辨識技術之精神病患自我傷害行為照護系統
This project uses low-resolution thermal imaging and skeleton recognition to build a real-time self-harm detection system. Joint-motion analysis improves recognition accuracy while preserving privacy and medical-care safety.
許庭瑄
M2Research Topic: 基於ToF感測器之人體姿態日常行為辨識模型
This study combines ToF depth sensors with human skeleton recognition and time-series modeling to recognize continuous daily activities while protecting personal privacy.
Academic Year 114 Enrollment
M1 5 members
陳閔昱
M1Research Topic: 中外耳病灶識別暨臨床診斷報告自動生成系統
This study develops the iEar intelligent eardrum lesion recognition system, combining object detection and image segmentation to locate lesions, analyze contours, and support real-time clinical decisions.
張鈞翔
M1Research Topic: 精神病房隔離室病患之自我傷害行為辨識暨護理紀錄自動生成系統
This study uses low-resolution thermal images and human skeleton recognition to detect head-related self-harm behaviors in real time, balancing privacy protection, accurate alerts, and psychiatric-care safety.
李家馨
M1Research Topic: 基於熱影像與ToF感測器之翻身拍背系統
This study combines ToF sensing and deep learning to recognize nursing actions. YOLO and hand-skeleton recognition identify turning and back-patting actions to support care quality and patient safety.
陳冠廷
M1Research Topic: 基於yolo物件辨識之舌肌復健遊戲平台
This study builds the reTon tongue-muscle rehabilitation game platform, using YOLO object detection and tracking to convert tongue movements into interactive game control for rehabilitation training.
鍾詩威
M1Research Topic: 智慧型手術器械辨識與教育訓練平台
This study combines YOLO object detection with custom algorithms to build an intelligent surgical instrument recognition and training platform for standardized medical education and objective learning assessment.
Academic Year 111 Enrollment
Expected Graduation: 114 Year 4AI豬隻健康辨識系統
Project Team (2 members)
This project combines YOLO and image processing to estimate pig body weight quickly and accurately, reducing animal stress while improving feeding efficiency and operational safety.
AI調料包缺陷辨識系統
Project Team (2 members)
This project designs an AI seasoning-packet inspection system for noodle production lines, combining cameras and edge AI to detect packet type and quantity in real time while improving inspection accuracy.
Academic Year 112 Enrollment
Expected Graduation: 115 Year 3AI銀髮族體適能健身系統
Project Team (3 members)
This project combines multi-model pose recognition and monocular 3D localization to evaluate exercise quality for older adults, balancing accuracy, privacy, and reduced manual workload.
AI手術器械辨識
Project Team (3 members)
This project combines YOLO-based surgical instrument recognition with LLM-generated guidance to provide real-time feedback for novice nurses and reduce clinical teaching workload.
AI膝反射辨識系統
Project Team (5 members)
This project integrates AI image recognition and conductive-yarn sensing to build an automated knee-reflex measurement system for objective clinical assessment and follow-up.
AI塑膠微粒辨識系統
Project Team (3 members)
This project applies YOLO deep learning to microscopic microplastic images, improving classification efficiency and reducing manual interpretation errors for standardized environmental monitoring.
AI電容焊接瑕疵辨識
Project Team (5 members)
This project combines YOLO deep learning and edge computing to detect missing or defective capacitor soldering around CPUs, improving production-line accuracy and stability.
No international students are currently listed
Welcome international students! We focus on AIoT, Medical IoT, and Industrial IoT.
International Students Recruiting
No alumni records are currently available
Alumni records will be collected here after students graduate.