Date: |
03 Dec 2025, 12.00PM – 1.00PM |
duration: |
1 hr |
Location: |
Online |
Cost: |
Free event |
The presentation shares research from the University of Auckland on how modern AI techniques and computational frameworks can enhance efficiency in design and construction. It includes real-world examples applying machine learning to building seismic performance data, featuring case studies from the Canterbury Earthquake Sequence that demonstrate how AI can support damage assessment, predict functionality loss, and inform recovery planning. The findings highlight how AI and ML can reshape design-phase data requirements and automate the selection of materials and components that meet resilience and sustainability goals.
The session also presents an AI-powered framework that converts design-stage models into structured datasets for planning, using generative AI to bridge the gap between design geometry and construction logic. The work demonstrates how streamlined, AI-enabled decision-making can enhance every stage of the design and construction process.
Presenter Bios:
Dr Yuqian Lu: a Senior Lecturer at the University of Auckland, heading the Industrial AI Research Group. His work focuses on intelligent systems that enhance efficiency, sustainability, and user experience in manufacturing and construction, with major research programmes supported by MBIE, Callaghan Innovation, and industry partners.
Dr Alice Chang-Richards: an Associate Professor in Civil and Environmental Engineering at the University of Auckland. She co-leads the QuakeCoRE programme on functional recovery of multi-storey buildings, with research focused on AI-driven seismic performance assessment and major initiatives funded by MBIE and BRANZ.
Dr Yang Zou: a Senior Lecturer in Construction Engineering and Management at the University of Auckland and Academic Lead for the UoA-Trimble Technology Lab. His research covers construction automation, robotics, and digital twins, and he serves as President of BIM Education New Zealand.
This webinar explores how AI is transforming design and construction by using data-driven methods to improve efficiency, resilience, and sustainability. It features case studies from the Canterbury Earthquake Sequence and presents AI frameworks that automate design analysis, planning, and decision-making across project stages.
The presentation shares research from the University of Auckland on how modern AI techniques and computational frameworks can enhance efficiency in design and construction. It includes real-world examples applying machine learning to building seismic performance data, featuring case studies from the Canterbury Earthquake Sequence that demonstrate how AI can support damage assessment, predict functionality loss, and inform recovery planning. The findings highlight how AI and ML can reshape design-phase data requirements and automate the selection of materials and components that meet resilience and sustainability goals.
The session also presents an AI-powered framework that converts design-stage models into structured datasets for planning, using generative AI to bridge the gap between design geometry and construction logic. The work demonstrates how streamlined, AI-enabled decision-making can enhance every stage of the design and construction process.
Presenter Bios:
Dr Yuqian Lu: a Senior Lecturer at the University of Auckland, heading the Industrial AI Research Group. His work focuses on intelligent systems that enhance efficiency, sustainability, and user experience in manufacturing and construction, with major research programmes supported by MBIE, Callaghan Innovation, and industry partners.
Dr Alice Chang-Richards: an Associate Professor in Civil and Environmental Engineering at the University of Auckland. She co-leads the QuakeCoRE programme on functional recovery of multi-storey buildings, with research focused on AI-driven seismic performance assessment and major initiatives funded by MBIE and BRANZ.
Dr Yang Zou: a Senior Lecturer in Construction Engineering and Management at the University of Auckland and Academic Lead for the UoA-Trimble Technology Lab. His research covers construction automation, robotics, and digital twins, and he serves as President of BIM Education New Zealand.
