AI for Infrastructure Inspection
Computer vision, deep learning, and vision-language approaches for automated infrastructure condition assessment.
Structural engineering · Artificial intelligence
Asad Ur Rahman, PhD
Assistant Professor
NUST Institute of Civil Engineering
School of Civil and Environmental Engineering
National University of Sciences and Technology
Structural Engineering × Artificial Intelligence × Digital Twins
Developing intelligent methods for infrastructure inspection, structural assessment, and resilient civil infrastructure.
Research areas
What I work on
My research connects structural engineering with sensing, computer vision, and data-driven methods for more consistent infrastructure assessment.
Digital Twins & UAVs
UAV-based data acquisition, 3D reconstruction, digital twins, and intelligent infrastructure monitoring.
Structural Dynamics & Resilience
Structural response, vibration, seismic hazard, condition monitoring, and resilient civil infrastructure.
Current & featured work
Featured research
Selected work on automated bridge inspection, embodied intelligence, and digital representations of civil infrastructure.
BridgeELSpect
An automated workflow that transforms UAV imagery into element-level damage quantities and condition states using 3D damage mapping.
BridgeEQA-3D
An ongoing research direction exploring embodied question answering for bridge inspection in three-dimensional environments.
Digital Twins of Bridges
UAV imagery, photogrammetric reconstruction, and semantic representations that turn inspection data into useful bridge digital twins.
Teaching
Teaching & interactive learning
I teach structural engineering and AI-enabled civil engineering, using computational tools to connect theory with engineering behavior.
Structural Dynamics
Graduate structural engineering covering vibration, damping, resonance, mode shapes, vibration isolation, and structural-control concepts.
Artificial Intelligence in the Built Environment
Artificial intelligence, machine learning, data analysis, and emerging AI applications for civil engineering and the built environment.
Scholarship
Selected publications
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Automated element-level bridge inspection from unmanned aerial vehicle imagery using 3D damage mapping and condition-state quantification
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Unified framework for digital twins of bridges
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Instance segmentation of reinforced concrete bridge point clouds with transformers trained exclusively on synthetic data
Research & collaboration
I welcome research collaborations and motivated students interested in structural engineering, artificial intelligence, computer vision, digital twins, and intelligent infrastructure.