Professional Cognitive Modelling for Dependability in Built Environment

About the Project

The persistent need for and the pursuit of dependability across subject areas in built management sustain excellence in professional practices and continuous professional learning and development. This research cluster aims to foster profound interdisciplinary studies on challenging issues regarding construability and reliability in the engineering domain and productivity and supportability in the management domain. Projects in this research cluster incorporate Artificial Intelligence (AI) into cognitive modelling for dependability related problems solving at single and multiple work stages in built environment projects cycle. This research cluster welcomes applicants with specialty interests in related subject areas and ambition to generate new knowledge and/or solutions to inform academic research and professional practices.

The areas of this research cluster include but not limited to the following recommendations:

• AI powered sourcing and procurement in major built environment projects.
• AI integrated cognitive models for risks analysis and simulation in BIM pervasive major projects delivery.
• AI assisted Cognitive Task Analysis (CTA) and decision making support at individual work stages including planning, design, construction, operation, and/or maintenance, etc.
• AI aided prediction and simulation of cognitive errors and failures against dependability at strategic, tactical, and/or operational levels.
• AI driven cognitive modelling for optimization and/or optioneering on workforces, products, processes, resources, and/or the project environment.
• Evidence and scenario based approaches to professional cognitive modelling for dependability enhancement.
• The body of knowledge for professional cognitive modelling in built environment.

The expected outcomes from each PhD Candidate in this research cluster may include but not limited to the following for their career development in academic research and/or professional practices:

• Academic articles published in reputable international journals.
• One book (based on PhD thesis) published by one reputable international publisher.
• Presentations to national and/or international audiences.

References

L. Chen, Z. Chen, and F. Dong (2025) Chapter 2: A Brief History of AI in Architectural Design for Buildings towards Sustainability. In M. Sedrez & G. Pitts (Eds.) Artificial Intelligence-Aided Design for Sustainability. Springer Nature, Singapore. DOI: 10.1007/978-981-95-1349-9_2.
Z. Chen, A. Agapiou, H. Li, and Q. Xu (2021) A TRIZ Approach to Reliable Megaproject Sustainability. Frontiers in Built Environment. DOI: 10.3389/fbuil.2021.650699.
Z. Chen, A. Agapiou, and H. Li (2020) A Benefits Prioritization analysis on Adopting BIM Systems against Major Challenges in Megaproject Delivery. Frontiers in Built Environment, 6:26. DOI: 10.3389/fbuil.2020.00026.