Fikret Necati Catbas

Professor and Director

University of Central Florida

United States

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About

Fikret Necati Catbas is a Professor and Director at the University of Central Florida, USA. His research focuses on advanced methodologies for infrastructure maintenance and monitoring, particularly utilizing deep learning, remote sensing, and innovative digital modeling techniques. Recent publications highlight his work on structural health monitoring of concrete bridges and the application of smart contracts to enhance resilience and reduce costs in infrastructure management.

Fikret Necati Catbas

Research Interests

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Articles (19)

Conceptual Advancements in Infrastructure Maintenance and Management Using Smart Contracts: Reducing Costs and Improving Resilience

Robot-based bridge indirect monitoring leveraging road data filtering for modal frequency estimation

Ultrasonic tomography with deep learning for detecting embedded components and internal damage of concrete structures

Rapid Evaluation and Decision-Making for Concrete Bridges

Community Twin Ecosystem for Disaster Resilient Communities

Remote Sensing in Bridge Digitalization: A Review

Investigating the Increase in Load Rating and Reliability of a Prestressed Concrete Bridge When Utilizing Field-Derived Distribution and Impact Factors

Improved undamaged-to-damaged acceleration response translation for Structural Health Monitoring

A brief introductory review to deep generative models for civil structural health monitoring

Condition transfer between prestressed bridges using structural state translation for structural health monitoring

Modelling of infill walls in reinforced concrete buildings under low-amplitude vibrations

Effect of structural repairs on the load rating and reliability of a prestressed concrete bridge

Generative adversarial networks for labeled acceleration data augmentation for structural damage detection

On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure

Applications of Computer Vision-Based Structural Monitoring on Long-Span Bridges in Turkey

Advanced bridge visual inspection using real-time machine learning in edge devices

Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review

A Novel Decision Support System for Long-Term Management of Bridge Networks

Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder–Decoder Network

Collaborators (8)

Eren Erman Ozguven

Marco Domaneschi

Onur Avci

Robert Michlowitz

Furkan Luleci

Rolando Chacón

Ulas Bagci

Belen Riveiro

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