Metallography and Machine Learning I (Joint Session IMS & AI/MI Committee)

Tuesday, October 1, 2024: 9:00 AM-10:00 AM
26 A (Huntington Convention Center)
Prof. S. Mohadeseh Taheri-Mousavi, Carnegie Mellon University, Dr. Jessica Buckner, Sandia National Laboratories and Dr. Andrew Kitahara, Analytical Mechanics Associates
9:00 AM
MIPAR Spotlight: Integrating Zero-Shot, Deep Learning, and Conventional Processing for Advanced Micrograph Analysis
Dr. John M. Sosa, MIPAR Software
9:40 AM
Holistic Machine Learning Approaches for Robust Microstructure Analysis: Insights from Phase Analysis and Grain Boundary Segmentation
Ms. Marie Stiefel, Saarland University; Mr. Martin Müller, Material Engineering Center Saarland; Mr. Björn-Ivo Bachmann, Materials Engineering Center Saarland; Dr. Dominik Britz, Material Engineering Center Saarland; Prof. Frank Mücklich, Saarland University
See more of: (IMS) Characterization of Materials and Microstructure through Metallography, Image Analysis, and Mechanical Testing - Fundamental and Applied Studies
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