14 July 2026, 10am - 1pm
Workshop 1
Workshop 1
AI-Driven Manufacturing: From Fault Detection to Process Optimization
This workshop explores the practical applications of artificial intelligence and data science in modern manufacturing systems. It presents how machine learning algorithms and advanced analytics enable manufacturers to detect faults, inspect defects, diagnose root causes, predict outcomes, and optimize process parameters. The session highlights the data-to-decision pipeline and introduces a framework connecting predictive to prescriptive intelligence for smart manufacturing.
Workshop 1
Why Attend:
Participants will learn how AI and data science are revolutionizing manufacturing from extracting actionable insights from production data to developing predictive and adaptive control strategies. The workshop shows how AI and data science empowers engineers to detect anomalies in real-time, reduce defects, and improve yield while minimizing downtime and costs. It is designed for industrial engineers, data scientists, and decision-makers seeking to transform their operations with intelligent and proactive manufacturing systems.
Workshop 1
Learning Outcomes:
what you will learn from this workshop?
Understand the end-to-end workflow
of AI-driven manufacturing, from data collection to model deployment.
Learn how to:
fault diagnosis, defect inspection, and virtual metrology can be integrated for quality improvement.
Gain practical insights
into connecting predictive and prescriptive analytics to achieve autonomous decision-making.
Dr. Chia-Yu Hsu
is a Professor in the Department of Industrial Engineering and Engineering Management, National Tsing Hua University. My research interests include Artificial Intelligence, Machine Learning & Deep Learning, Time Series Data Analysis & Predictive Maintenance, and Defect Inspection for Smart Manufacturing. Based on Industry-Collaboration project with various companies to validate the effectiveness of the proposed method.
He received B.S. in Statistics from National Chung Kung University (2002). He received M.S. in Industrial Engineering and Engineering Management from National Tsing Hua University (2004) and Ph.D. in Industrial Engineering and Engineering Management from National Tsing Hua University (2009).
He was Visiting Professors in Institute for Manufacturing from University of Cambridge (UK), in Department of Statistics from University of Central Flordia (USA) and Visiting Researcher in NVIDIA Corporation (USA) sponsored by LEAP Program and MOST. He serves as associate editor for IEEE Transactions on Automation Science and Engineering. His research works appear in IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Semiconductor Manufacturing, Applied Soft Computing, Journal of Intelligent Manufacturing. Dr. Hsu received Dr. Ta-You Wu Memorial Award by Ministry of Science and Technology, Feng-Zhang Lu Memorial Medal by Chinese Management Association, Young Outstanding Researcher Award sponsored by Ministry of Science and Technology, Young Outstanding Researcher Award sponsored by Chinese Institute of Industrial Engineers (CIIE), Young Outstanding Researcher Award sponsored by Computer Scoiety of the Repulic of China (CSROC), Sayling Wen’s Award for Young Outstanding Researcher sponsored by Service Science Society of Taiwan, and Young Outstanding Researcher Award sponsored by Yuan Ze University. He has also received 4 Invention Patents of USA.