The 17th Consumer Electronics Forum

1. Event Information

• Event Title: The 17th Consumer Electronics Forum

• Forum Theme: Precision Health and Smart Healthcare

• Date & Time: May 15, 2026 (Friday), 09:00–11:00

• Format: Online synchronous meeting. The meeting link will be sent two days prior to the event.

• Organizer / Co-organizer: Master’s Program in Artificial Intelligence in Medicine (In-Service), College of Medicine, Taipei Medical University / Consumer Electronics Society, Republic of China

Speaker 1

• Speaker: Prof. Yung-Chang Lin, Department of Information Management, National Chung Hsing University

• Biography:
  Prof. Yung-Chang Lin is a Distinguished Professor in the Department of Information Management at National Chung Hsing University. His research focuses on artificial intelligence, information security, blockchain, and precision exercise, with active engagement in promoting cross-disciplinary applications of AI in areas such as smart manufacturing and precision health. To date, he has published more than 100 journal papers indexed in SCI, SSCI, and EI, as well as over 80 international conference papers. Prof. Lin has also led numerous research projects funded by Taiwan’s National Science and Technology Council and the Ministry of Education. He has been listed among Stanford University’s “World’s Top 2% Scientists.” Currently, he serves as President of the Chinese Association for Intelligent Computing and Vice President of the Information Security Association of the Republic of China. He is also actively involved in academia–industry collaboration, promoting innovative development of AI and digital technologies in health management and smart industries.

• Presentation Title:
  AI-Driven Precision Exercise: Personalized Health Management in the Era of Smart Healthcare

• Abstract:
  With the rapid development of precision health and smart healthcare, exercise has increasingly become a key strategy in preventive medicine and health management. This presentation introduces an AI decision engine–based precision exercise training system, demonstrating how exercise data, physiological monitoring, and artificial intelligence algorithms can be integrated to establish personalized exercise models and deliver precise exercise prescriptions. Through real-time analysis of physiological indicators such as heart rate and exercise performance, the AI dynamically adjusts training intensity and workout programs. By integrating smart exercise devices, the system forms a physiological–physical closed-loop training framework, enabling safer, more effective, and personalized exercise training. Driven by AI decision-making and data analytics, this system offers an innovative sports technology solution for precision health management and smart healthcare applications.

Speaker 2

• Speaker: Prof. Chien-Yeh Hsu, Department of Information Management, National Taipei University of Nursing and Health Sciences

• Biography:
  (To be provided)

• Presentation Title:
  Improving Healthcare Using Real-World (Big) Data and Artificial Intelligence

• Abstract:
  (To be provided)