Upcoming Webinars

Most IISE webinars are free one-hour presentations by knowledgeable professionals and experienced volunteers who provide deeper insight into topics and issues involving industrial and systems engineers and ISE-related disciplines.

You must be able to view Windows Media Files to watch. If the recording does not start automatically, download this codec.

IISE will award continuing education units (CEUs) if you attend the entire webinar. Send your request to IISE customer service at cs@iise.org.

IISE members and others qualified to view designated webinars can also review the webinar archive and access past presentations.

Webinar Recordings

Global vs Standard Project Management

Sponsored by Missouri S&T Project Management
Presenter: Joan B. Schuman, Ph.D., PMP
Monday, April 14 - 12 noon ET (11 am CT)

Navigate the challenges of international projects with expert insights into cultural, time zone, legal, tools, and language differences. Join us for a deep dive into the complexities and strategies of managing projects across borders.

Leveraging Contextualized AI for Computation Services in Manufacturing Industrial Internet

Presented by IISE Quality Control & Engineering Reliability (QCRE) &
Data Analytics & Information Systems (DAIS) Divisions
Speaker: Dr. Ran Jin
Monday, April 7, 11 a.m. - 12 noon ET

In this presentation, a few methodologies will be introduced to bridge the gap between the tailored AI models for specific context and one-fits-all large AI models by using recommender systems since 2018.

Data and Decision Science Models for Ultra-Scale Wind Energy Forecasting, Operations, and Maintenance

Presented by IISE Quality Control & Engineering Reliability (QCRE) &
Data Analytics & Information Systems (DAIS) Divisions
Speaker: Dr. Ahmed Aziz Ezzat
Thursday, April 17, 11 a.m. - 12 noon ET

Unlocking the economic and environmental potential of wind energy calls for innovative data science solutions to address emerging challenges in the operation of the next-generation of wind farms. In this talk, I will present our research group’s progress in designing new data science methodologies to model and reduce the uncertainty in wind energy operations.