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Covid-19 Notice

All campus events (including Division of Extension sponsored events outside of Dane County) are canceled through June 30, with limited exceptions to be granted by deans or vice chancellors. Even if an event is not yet labeled as canceled, it's likely to be canceled, postponed or modified to online only, from now through June 30. Please check with organizers before attending.

ISyE Colloquium:Physics Based and Data-Driven Pattern Analysis for Improved Manufacturing Equipment and Process Modeling

Presented by: Peng Wang

Event Details

Monday, February 4, 2019
12-1 p.m.
Driven by the continued advancement in sensor miniaturization, high-performance computing, and cyberinfrastructure, new opportunities have emerged for collecting, processing, and managing large volumes of data from the factory floor that provide insight into the state of manufacturing equipment and processes. Effective learning from the data to improve operational safety, energy efficiency, and sustainability, however, has remained a challenge.