Faculty within the Materials Branch
Hoda Amani Hamedani
Eric Baer
Bud Baeslack III
Erika Barcelos
Develops geospatial predictive models and geospatial data science tools to study climate and environmental related phenomena and their impacts in nature. Develop data management and data integration frameworks for data and metadata to enable FAIRification.
Laura Bruckman
Jennifer Carter
Chung-Fu Cheng
Mark De Guire
Frank Ernst
Frank Ernst
Roger French
Michael Hore
Hatsuo Ishida
Peter Lagerlof
John Lewandowski
Joao Maia
Ica Manas-Zloczower
David Matthiesen
Jim McGuffin-Cawley
Pirouz Pirouz
Valentin Rodionov
David Schiraldi
Alp Sehirlioglu
Abhinendra Singh
Pawan Tripathi
Develop data analysis techniques, tools, and pipelines for high dimensional datasets in materials science such as synchrotron XRD, XCT, and advanced manufacturing to reveal insights, and correlations and improve predictive modeling leveraging deep learning, artificial intelligence, and statistical methods.
Materials Data Science, Advanced Manufacturing, Synchrotron Data Analysis, Image Processing, Deep Learning, Artificial Intelligence, Uncertainty Quantification, Atomistic Simulation