应科研处、自动化工程学院邀请，Canada Western University夏敏教授来我校举办学术报告，欢迎全校师生踊跃参加。
报告题目：Scientific Machine Learning for Smart Engineering System
报告人：夏敏
个人简介：Dr. Min Xia joined Western University in 2023 as a Professor and the Director of Machine Intelligence Laboratory (MIN Lab) in the Department of Mechanical and Materials Engineering. His research interests include scientific machine learning, intelligent machine condition monitoring, advanced manufacturing process monitoring and optimization, industrial data mining, and smart clean energy systems. Dr. Xia has published more than 100 papers in peer-reviewed journals and conferences, including top journals in mechatronics and industrial informatics. He has been ranked in the World's Top 2% Scientists (by Stanford University) since 2020, based on the impact of published works. He has led 19 research projects in Canada, the UK, and Japan, with total funding of $20 million ($3.7 million as PI).
主要内容：Machine learning, especially deep learning, has been widely investigated in data-driven solutions for smart manufacturing and smart energy systems, including monitoring, optimization, and decision-making, due to its superior capabilities in classification, regression, or content generation (e.g., Large Language Model-based approaches). However, the "black box" nature of deep learning has limited the practical application or acceptance of these methods in real industrial settings. Building reliable and trustworthy approaches is both an urgent and demanding task in both academia and industry. This talk will illustrate trustworthy AI-based methods, focusing on interpretable model learning, uncertainty estimation, and physics-informed learning, which can significantly enhance the reliability of AI-based solutions in smart engineering systems like manufacturing and energy systems. Through real-world case studies, the developed solution with scientific machine learning and future application scenarios will be explored.
时间：2026年7月10日 09:00 -12:00
地点：科技楼510
