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Ali Khudhair  BSc, MSc, PhD

Dr Ali Khudhair

(he/him)

BSc, MSc, PhD

Teams and roles for Ali Khudhair

Overview

Ali Khudhair
PhD, MSc, BSc | Structural Engineer & BIM Specialist

I am a Research Associate and Structural Engineer at Cardiff University, specialising in Building Information Modelling (BIM), digital twins, and semantic data interoperability. My work bridges engineering and digital innovation, with a focus on implementing ISO 19650-compliant openBIM workflows within infrastructure and environmental domains.

With a PhD in BIM and data processing, I have contributed to national and international projects across the maritime, transport, and energy sectors, developing semantic frameworks, digital compliance tools, and real-time digital twin systems.

In addition to engineering and semantic modelling, I have experience in software development, particularly using Docker, Django, and React. These tools support the deployment of web-based digital twin interfaces, BIM data services, and automation pipelines for infrastructure asset management.

My research supports the digital transformation of the built environment by integrating BIM data schemas (IFC), semantic modelling (OWL/RDF), and decision-support tools to enhance lifecycle information management and infrastructure resilience.

Publication

2026

2025

2024

2023

2022

2021

2020

Articles

Conferences

Thesis

Research

My research focuses on enabling digital transformation in the built environment through BIM, digital twins, and semantic data integration. I specialise in developing ISO 19650-compliant openBIM workflows, ontology-based data models, and AI-driven tools to support infrastructure resilience, lifecycle asset management, and compliance automation.

I am a certified BIM Practitioner, having completed training on ISO 19650 Part 2 (Project Delivery) and Part 4 (Information Exchange) through the BSI Training Academy. This formal qualification complements my academic research and supports the practical implementation of openBIM standards in real-world infrastructure projects.

A core part of my work involves semantic modelling using IFC, OWL/RDF, and rule-based reasoning to improve data interoperability and decision-making across infrastructure domains. I have contributed to national and international projects in the maritime, transport, and energy sectors, developing digital compliance platforms, environmental integration frameworks, and federated BIM models.

A recent collaborative research involved the development of an Asset Information Management (AIM) system for predictive bridge maintenance. The system combines image processing and CNN-based models to detect structural damage and generate repair suggestions, which are integrated into IFC-based BIM models. Users can upload IFC files, select components, and apply maintenance predictions, creating a link between real-world condition monitoring and digital asset updates.

I also work on ontology-guided multi-criteria decision frameworks, such as fuzzy-AHP, to support complex planning tasks like optimal siting of urban earthquake emergency shelters. These models enhance decision support by capturing expert judgment, spatial data, and performance metrics in a unified semantic framework.

Through applied research, tool development, and collaboration with initiatives like buildingSMART International, my work aims to advance open, intelligent, and sustainable digital solutions for infrastructure and the built environment.