Home Events International Symposium on Digitalisation and Artificial Intelligence in the Built Environment 2026 (Part Two)
International Symposium on Digitalisation and Artificial Intelligence in the Built Environment 2026 (Part Two)
19 February, 2026 @ 3:00 pm - 4:30 pm AWST
$38.00 - $50.00
This symposium is led by AIQS WA Chapter in collaboration with international industry professionals and academicians. It consists of a series of webinars about the latest trends and opportunities of digitalisation and artificial intelligence in the built environment / construction industry.
The symposium will enable viewers prepare for the Industrial Revolution 5.0, which emphasises collaboration between human and machine to achieve mass customisation and personalisation for clients.
Part Two of the Symposium consists of two presentations:
Presentation 1: Leveraging AI and Automation for Streamlined Construction Procurement – Advancing Efficiency and Decision-Making in Large-Scale Projects (Jeremy Huynh)
This presentation will look at how AI and automation can make large-scale construction procurement faster, clearer, and more efficient. It focuses on practical applications like improving scope clarity, reducing scope creep, and streamlining tender evaluations using tools such as retrieval-augmented generation, predictive analytics, and natural language processing.
The presentation draws upon research that combines literature reviews, case studies across multiple countries, and industry interviews to develop a flexible AI-enabled procurement framework. Key benefits include cutting document review time, enhancing contract precision, and improving supplier transparency—while maintaining human oversight for accountability.
Attendees will learn actionable strategies, governance guidelines, and ethical considerations for adopting AI responsibly in construction procurement.
Presentation 2: Defining Industry Requirements for AI-Driven Resource Management in Construction (Ali Alashwal)
This talk will explore how Artificial Intelligence can improve resource management in the construction industry by addressing challenges like fragmented processes and poor data integration. The talk will identify six key capabilities for an AI-driven system:
1. integrating diverse data for better forecasting
2. predictive planning to avoid shortages
3. optimised resource allocation
4. automating repetitive tasks
5. workforce planning
6. real-time performance benchmarking
Additional opportunities include material tracking, logical sequencing of activities, and balancing time–cost trade-offs. These insights aim to guide developers and practitioners in creating integrated AI solutions that enhance efficiency, adaptability, and decision-making across the project lifecycle.
CPD: 1.5 points
Disclaimer: The information presented in this webinar is accurate to the best of the speaker’s knowledge at the time of recording. AIQS does not independently verify the content and accepts no responsibility for any errors, omissions, or changes that may occur after publication. Viewers are encouraged to exercise their own judgement and seek professional advice where appropriate.
Our speakers
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- Name
- Ali Alashwal
- Biography
Dr. Ali Alashwal, PMP, CPPP, FHEA, is a Senior Lecturer in Project Management at Western Sydney University and Academic Program Advisor for the Master of Project Management and Master of Construction Law.
Ali leads the Sustainability Research Group at the Centre for Smart and Modern Construction (c4SMC). His current research focuses on AI, BIM, and resource management in construction. With over 15 years of experience, Dr. Alashwal has authored nearly 80 publications, supervised 14 Ph.D. candidates, and earned several awards, including the NSW Professional Excellence in Building Award (Research Category). He is committed to advancing sustainable, technology-driven project management education and research.
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- Photograph
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- Jeremy Huynh
- Biography
Jeremy Huynh is a PhD Student in Construction Management at Curtin University, specialising in the application of Artificial Intelligence and automation to streamline procurement in large-scale construction projects.
With industry experience across projects ranging from $4 million to $150 million, Jeremy has observed first-hand the inefficiencies in procurement workflows and is developing an AI-enabled framework to enhance efficiency, decision-making, and lifecycle integration.
Jeremy's research bridges academia and industry by advancing procurement as a core AI research domain, while contributing practical solutions to improve productivity, reduce risks, and foster innovation in the built environment.
