Khalid M. Mosalam
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
Top Papers
- 1Deep semantic segmentation for visual understanding on construction sites70 citations · 2021