01
Sensing Data
Acquire reliable field data from images, ToF sensors, thermal imaging, and sensing signals.
Lab Positioning
Not isolated technology demos,
but complete system-level problem solving.
The core value of iCPS Lab is to integrate artificial intelligence, sensing data, and physical environments into systems that can be deployed, verified, and continuously improved. Our research starts from problem definition and returns to real application settings such as healthcare, manufacturing, and smart cities.
02
AI Interpretation
Turn data into explainable decision support through model design, training, and validation.
03
System Deployment
Combine edge computing and human-machine interfaces to bring technology into clinics, production lines, and real environments.
Research Philosophy
Starting from field problems, we make research outcomes truly usable.
Principal Investigator
Professor Wan-Jung Chang
Wan-Jung Chang, Ph.D.
Lab Leadership
Interdisciplinary training for engineers who solve real problems.
“The value of engineering education lies in exploring the unknown and returning technology to society. We expect our team not only to master advanced technologies, but also to deliver practical solutions for clinical and industrial needs.”
Professor Chang has long focused on AIoT and edge computing, building a highly interdisciplinary research environment in the Department of Electronic Engineering at NKUST. The lab connects hospitals and technology industries externally, while guiding students to transform ideas into verifiable system outcomes internally.
AIoT
Smart sensing integration
Edge AI
Edge deployment applications
XR
Immersive training systems
Agentic AI
Autonomous agent applications
Two-Way Impact
Connecting clinical and industrial fields while training research talent.
🤝
For Partners
Clinical-Industrial Collaboration
We have experience in industry-academia collaboration and clinical field validation. The lab supports enterprises and hospitals with customized technical assessment, AI system development, and proof-of-concept validation.
- ✓AI-assisted systems for clinical pain points
- ✓Smart factory defect detection and automation deployment
- ✓Advanced technology transfer and joint R&D
🎓
For Students
Start Your Research Journey
PhD students, master’s students, and undergraduate project students are welcome to join. You will not only study theory, but also participate in data processing, model training, system integration, paper publication, and competition practice.
- ✓Complete training from algorithm development to system deployment
- ✓Guidance for domestic and international conferences and journals
- ✓Hands-on experience through innovation competitions and industry-academia projects
Project Collaboration
Cross-Domain Connections in Practice
The collaboration scope spans technology companies, clinical sites, research institutions, and government-related units across iCPS Lab projects and field validation work.
Industry
Industry and Technology
Records related to smart manufacturing, AIoT, AR/XR, image recognition, system integration, and technical services.
上海複芯微電子技術諮詢有限公司小霸氣有限公司日月光半導體製造股份有限公司台灣松下電器股份有限公司任采國際有限公司名將實業有限公司宇宙新幹線科技有限公司安捷科股份有限公司百國科技股份有限公司米蘭時尚髮型有限公司西柏容有限公司佐臻股份有限公司亞邦國際科技股份有限公司和碩聯合科技股份有限公司府城國際租賃有限公司府城新幹線有限公司昊成股份有限公司明莘科技有限公司
易學通有限公司東海清有限公司冠陞企業管理顧問股份有限公司展洲企業有限公司恩比歐科技有限公司浩森工業有限公司高光綠能有限公司偕行科技股份有限公司清大行股份有限公司敦玉科技有限公司敦謙國際智能酒店股份有限公司智取數位科技股份有限公司華亨科技股份有限公司華泰電子股份有限公司華電聯網股份有限公司雄欣科技股份有限公司萬泰機械廠股份有限公司經昌汽車電子工業股份有限公司聖凡資訊有限公司漢程汽車客運有限公司睿揚創新科技有限公司睿橋資訊股份有限公司廣新開發股份有限公司毅智科技有限公司磐誠工程顧問股份有限公司髮林國際健康時尚有限公司髮妍科技有限公司壟銓科技股份有限公司寶創企業股份有限公司鐸拉系統整合服務股份有限公司鑽之韻國際有限公司
Clinical
Healthcare and Clinical Sites
Clinical collaboration contexts involving decision support, smart care, medical training, and system validation.
台北三軍總醫院基督復臨安息日會醫療財團法人臺安醫院嘉義基督教醫院戴德森醫療財團法人嘉義基督教醫院
Institutions
Institutions, Research Centers, and Government Units
Research institutes, industry centers, academic societies, and government-related units appearing in project records.
中華民國消費電子學會文化部台南市政府台灣流行病學學會科技部南部科學園區管理局財團法人工業技術研究院財團法人台灣經濟研究院財團法人船舶暨海洋產業研發中心財團法人船舶暨海洋產業發展中心國家實驗研究院第四屆(114年)高科大高醫大研發暨產學合作補助計畫勞動部勞動及職業安全衛生研究所
經濟部工業局經濟部中小企業處經濟部技術處
Core Applications
Three Core Research Areas
With AIoT as the technical foundation, the lab connects healthcare AI, smart manufacturing, and smart transportation so that models become deployable application systems rather than accuracy numbers alone.
Healthcare AI
Digital Healthcare and Smart Care
Integrating thermal imaging, ToF sensors, and AI skeleton recognition for psychiatric self-harm warning, patient behavior recognition, automated ear lesion diagnosis, tongue rehabilitation, and XR training for surgical instrument education.
Smart Manufacturing
Industry 4.0 Smart Manufacturing
Using Edge AI to develop low-latency, high-accuracy automated defect detection systems for production-line issues such as capacitor missing solder and product packaging defects.
Smart City
Smart Transportation and IoT
Deploying reliable IoT sensing networks to support bidirectional interaction between network communication and the physical world, with applications in traffic monitoring, environmental sensing, and sustainable cities.
Join / Collaborate / Build
The next deployable AI system may start here.
Whether you are seeking clinical-industrial collaboration, joining a research project, or learning more about lab outcomes, we welcome you to contact us through the website or by email.