“新质装备前沿讲堂”第五十七场：Prof.Jionghua (Judy) Jin——Machine Learning to Empower In-Situ Quality Control for Smart Manufacturing

讲座摘要

The convergence of advanced sensor technologies and the Internet of Things has created unprecedented opportunities for smart manufacturing. However, the abundance of data also presents significant challenges, particularly in analyzing massive, high-dimensional streaming data characterized by spatial and temporal heterogeneity with complex functional dependencies. This talk will explore how the rapid evolution of machine learning techniques can address these challenges to enhance in-situ quality control decision-making for smart manufacturing. The presentation will begin with an overview of the opportunities and challenges in quality engineering for smart manufacturing. Illustrative examples will be provided to demonstrate the critical role of machine learning in handling the complexities of online sensing data for automatic defect detection and enabling continuous learning for in-situ quality control.

嘉宾介绍

Jionghua (Judy) Jin is the A. Galip Ulsoy Chair Professor of College of Engineering and a professor in the Department of Industrial and Operations Engineering at the University of Michigan. Her research focuses on the intersection of data science and quality engineering with an emphasis on integrating process design and operational data to enhance quality control decision-making. Her data fusion methodologies emphasize synergistic fusion of engineering models with advanced statistics, machine learning and optimization algorithms to discover underlying knowledge for predicting and optimizing system performances via data driven decision-making. She has served as a PI/Co-PI of more than $20 million grants funded by federal government agencies and various industrial companies. Her research results have been widely implemented in various industrial production systems and have been recognized with numerous awards, including 17 Best Paper Awards, the Forging Achievement Award, the NSF CAREER Award, and the prestigious NSF PECASE Award.

Dr. Jin currently serves as the Focus Issue Editor for IISE Transactions on Data Science, Quality and Reliability and is the Editor-in-Chief elect of IISE Transactions. Dr. Jin also previously served as Vice President of INFORMS, Chairperson of Quality, Statistics and Reliability (QSR) Section of INFORMS, and President of Quality Control and Reliability Engineering (QCRE) Division of IISE. She is an elected Fellow of the American Society of Mechanical Engineers (ASME), the Institute of Industrial and Systems Engineers (IISE), and the Institute for Operations Research and the Management Sciences (INFORMS).