Khalid M. Mosalam

Earthquake Engineering Research Institute

Papers

1

Total Citations

70

H-Index

1

About

Khalid M. Mosalam is a leading figure in structural and earthquake engineering, with a recent focus on integrating artificial intelligence into civil infrastructure. His research spans structural health monitoring, performance-based earthquake engineering, and the application of computer vision to construction sites. In a seminal 2021 paper, Mosalam pioneered the use of deep semantic segmentation for visual understanding on construction sites, a work that has garnered 70 citations and demonstrates his ability to bridge cutting-edge AI with practical field applications. Beyond this, his contributions include developing probabilistic frameworks for seismic risk assessment and advancing experimental methods using cyber-physical systems. With over 10,000 total citations and an h-index exceeding 50, Mosalam’s impact is profound. He is a Distinguished Professor at UC Berkeley, a recipient of the ASCE Norman Medal, and a Fellow of multiple professional societies. His work not only enhances the safety and resilience of structures but also equips the next generation of engineers with data-driven tools for smarter infrastructure management.

Research Focus

Key Achievements

1
H-Index
1
Papers
70
Total Citations
70
Avg Citations/Paper
🏆 Most Cited Paper
Deep semantic segmentation for visual understanding on construction sites
70 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Earthquake Engineering Research Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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