Mohammad Hesam Soleimani-Babakamali

Mohammad Hesam Soleimani-Babakamali is a Ph.D. student in the Charles E. Via Department of Civil and Environmental Engineering. He is advised by Ismini Lourentzou. His research is focused on using artificial intelligence for anomaly detection with structural health monitoring (SHM) data.

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Toward a general unsupervised novelty detection framework in structural health monitoring Date: Jul 14, 2022

Mohammad Hesam Soleimani-Babakamali

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