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.

Ph.D Student
Research Areas:

Artificial Intelligence
Sustainability
Urban Computing

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