Reza Sepasdar

Reza Sepasdar was a simultaneous Ph.D. student in civil engineering and master’s degree student in computer science, advised by Anuj Karpatne. (His master’s co-advisor is Maryam Shakiba).

Sepasdar’s research interests lie in the intersection of AI and computational mechanics.

Alumni
Research Areas:

Artificial Intelligence
Computer Vision
Intelligence Analysis

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Publications

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New! Toward a general unsupervised novelty detection framework in structural health monitoring

Mohammad Hesam Soleimani-Babakamali, Reza Sepasdar
In Computer-Aided Civil and Infrastructure Engineering, 37 9: 1128-1145, 07/2022
Citatations: BibTeX

New! A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

Reza Sepasdar, Anuj Karpatne
In Cornell University, : , 04/2021
Citatations: BibTeX

New! A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

Reza Sepasdar, Anuj Karpatne
In Cornell University, : , 04/2021
Citatations: BibTeX

In the News

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