Wodo participates in Machine Learning for Microstructural Data webinar

Published October 15, 2020

Olga Wodo is one of three speakers in a free webinar on Machine Learning for Microstructural Data, co-presented by two of the major professional societies in materials science, The Materials Research Society and ASM International.  

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The webinar, which will be held on Wednesday, October 21, from 12:00-1:30 p.m. ET will discuss and explore how machine learning has become a valuable tool in the management of microstructural data.

Wodo’s talk is entitled “Microstructure Informatics: Expanding Descriptors from Molecular to Microstructural Level.” Other speakers include Sean Donegan of the Air Force Research Laboratory, who will address “Relating Microstructure Features to Response Using Convolutional Neural Networks” and Ryan Noraas of Pratt & Whitney will talk about the “Application of Machine Learning to Microstructure Quantification and Understanding.” Elizabeth Holm of Carnegie Mellon University is hosting the event.

Each talk will be followed by a Q&A session with the speaker. The webinar is free but advance registration is required.

The event is sponsored by MIPAR Image Analysis Software.

Wodo is an assistant professor in the Department of Materials Design and Innovation. Her research interests include Informatics and high-performance computing for materials design and manufacturing.