Dr Yiming Xiang is a Lecturer (Teaching) in Design for Construction at The Bartlett School of Sustainable Construction (BSSC), UCL.
He holds a Bachelor’s Degree of Architecture, a Master's Degree of Architecture, and a Doctorate in Sustainable Construction. Before joining BSSC as a lecturer, he worked as a Postdoctoral Research Fellow at the University of Birmingham, contributing to Horizon Europe project ZEBAI, Innovative methodologies for the Design of Zero-Emissions and cost-effective Buildings enhanced by AI.
His work sits at the intersection of architecture design, civil engineering, digital construction, sustainability, and artificial intelligence, with a focus on data-informed sustainable design and delivery in the built environment.
His research interests include:
Sustainable and Low-Carbon Design
Embodied carbon assessment and optimisation
Whole-life carbon evaluation and circular construction
AI and Machine Learning for the Built Environment
Generative and predictive models for design
Data-driven decision support in design-for-construction
Prefabrication and modular construction
Through these themes, Dr Xiang aims to bridge design and real-world practice via data-informed approach. His work contributes to the development of scalable tools and evidence-based design processes, supporting the built environment’s transition toward low-carbon, resilient, and high-quality delivery.
Dr Yiming Xiang is a Lecturer (Teaching) in Design for Construction at The Bartlett School of Sustainable Construction (BSSC), UCL.
He holds a Bachelor’s Degree of Architecture, a Master's Degree of Architecture, and a Doctorate in Sustainable Construction. Before joining BSSC as a lecturer, he worked as a Postdoctoral Research Fellow at the University of Birmingham, contributing to Horizon Europe project ZEBAI, Innovative methodologies for the Design of Zero-Emissions and cost-effective Buildings enhanced by AI.
His work sits at the intersection of architecture design, civil engineering, digital construction, sustainability, and artificial intelligence, with a focus on data-informed sustainable design and delivery in the built environment.
His research interests include:
Sustainable and Low-Carbon Design
Embodied carbon assessment and optimisation
Whole-life carbon evaluation and circular construction
AI and Machine Learning for the Built Environment
Generative and predictive models for design
Data-driven decision support in design-for-construction
Prefabrication and modular construction
Through these themes, Dr Xiang aims to bridge design and real-world practice via data-informed approach. His work contributes to the development of scalable tools and evidence-based design processes, supporting the built environment’s transition toward low-carbon, resilient, and high-quality delivery.