معرفی
Necati Catbas is the Lockheed Martin St. Laurent Professor in the Department of Civil, Environmental and Construction Engineering at the University of Central Florida (UCF), College of Engineering. He is the founding director of the Civil Infrastructure Technologies for Resilience and Safety (CITRS) Lab, where he leads cutting-edge research in structural health monitoring and infrastructure resilience.
His research focuses on structural identification, structural health monitoring, non-destructive evaluation, and condition assessment of bridges, buildings, aerospace structures, and stadiums. He integrates advanced technologies such as computer vision, AI, and sensor networks to improve infrastructure safety and longevity. His work has real-world applications supported by NASA, NSF, and the National Academies IDEA Program.
The recent publications highlight a strong trend toward AI-driven and vision-based structural monitoring, with a focus on data augmentation, knowledge transfer, and real-time assessment of bridge systems. His team has demonstrated seamless implementation of these technologies in field applications across the globe.
- Fellow, American Society of Civil Engineers (ASCE)
- Fellow, Structural Engineering Institute (SEI)
- Kikuchi-Karlaftis Award, Transportation Research Board
- Aftab Mufti Medal, International Society for SHM
- UCF Luminary Award
- Technical Excellence Award, Central Florida Engineering Societies
- Frontiers of Engineering, National Academy of Engineering
- NASA Certificate of Recognition
- University Excellence in Graduate Teaching Award
Dr. Catbas actively advises doctoral students and has led multiple funded research projects. He has served as associate editor for the ASCE Journal of Structural Engineering, handling editor for the Journal of the Transportation Research Board, and on the executive board of the Society for Experimental Mechanics. His lab has developed patented technologies for remote sensing and infrastructure monitoring.
He leads the CITRS Lab, a multidisciplinary team focused on developing innovative solutions for infrastructure resilience using AI, VR, and advanced sensing. The lab's work bridges theoretical research and practical implementation, with demonstrated success on bridges worldwide.
حوزههای پژوهشی
