The IMS Center Holds its 37th Industry Advisory Board Meeting

The IMS Center is happy to announce that its 37th Industry Advisory Board is now available for on-demand viewing. If you have interest in watching this event, please contact the IMS Center here. You can learn more about this event at the IMS Center website here.

This event features updates on the IMS Center’s research in the key thrust areas of Manufacturing AI, Semiconductor AI, Energy & Electrification AI, and Healthcare AI. Project presented focus on leveraging machine learning and AI for predicting asset failures, reducing downtime, increasing availability, enhancing quality, and improving yield. An agenda for this event is provided below:

Event Agenda

KEYNOTE

Welcome Address and IMS Center Update Professor Jay Lee
Founding Director Center for Intelligent Maintenance Systems and Industrial AI
Professor Jay lee will provide an overview of the key areas in which the IMS Center has applied industrial AI technologies to drive impact for its members.

Semiconductor AI

Developing Physics-Informed Machine Learning Analytics for Yield Enhancement in Semiconductor Manufacturing Systems and Processe
Xiaodong Jia, PhD
Research Assistant Professor
University of Cincinnati

Augmented Intelligence for Fault Diagnosis using In-Process Semiconductor Manufacturing Measurement Data
Joseph Cohen
PhD Graduate Student Researcher
University of Michigan

MANUFACTURING AI

Evolution of Predictive Maintenance Approaches for Industrial Robots
Marcella Miller
PhD Graduate Student Researcher
University of Cincinnati

Data Creation for Machine Learning-Based Manufacturing Quality Control
Laura Pahren
Machine Learning Software Engineer, P&G
PhD Student, IMS Center

Dynamic Resilience Control in Flow Shops using Deep Reinforcement Learning
Xingjian Lai
PhD Graduate Student Researcher
University of Michigan

Quality Prediction in Multistage Manufacturing Systems using Data Driven Stream of Variation
Zhiyi Chen
PhD Graduate Student Researcher
University of Michigan