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  Artificial Intelligence for Professional Excellence in Built Environment


   Department of Architecture, Faculty of Engineering

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

This project aims to foster new multidisciplinary research into specific challenging issues in the subject field of built environment with regard to the adoption of Artificial Intelligence (AI) for excellence in professional practices. This project is open to applicants who have specialty interests in related areas and have ambition to generate new knowledge and advanced solutions to inform academic research and professional practices in the design, construction, and/or operation of buildings and/or civil infrastructure. 

The research areas of this project include but not limited to the following new analysis and/or solutions in the context of engineering and/or management for built environment projects:

·        AI aided decision making across work stages including planning, design, construction, and/or operation, particularly in BIM pervasive major project delivery.

·        Methodological studies on advanced AI solutions for optimization and/or optioneering with regard to people, products, processes, resources, and/or the environment.

·        The enhancement of capability, dependability, efficacy, and/or resilience by adopting AI at strategic, tactical, and/or operational levels.

·        The study on accidents and/or best practices through machine learning to advance the professional body of knowledge.

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

·        Academic papers published in reputable international journals.

·        One book (based on PhD dissertation) published by one reputable international publisher.

·        Presentations to national and/or international audiences.

Architecture, Building & Planning (3) Business & Management (5) Computer Science (8) Engineering (12) History & Archaeology (19) Mathematics (25)

References


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.
Z. Chen (2019) Grand Challenges in Construction Management. Frontiers in Built Environment, 5:31. DOI: 10.3389/fbuil.2019.00031.
P. Boateng, Z. Chen, S. Ogunlana (2017) Megaproject Risk Analysis and Simulation: A Dynamic Systems Approach. Emerald Group Publishing Ltd. ISBN: 978-1-78635-831-8. DOI: 10.1108/9781786358301.

Register your interest for this project


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