黑料吃瓜网

• Quantity surveying, cost planning and cost modelling
• Life cycle costing and whole-life cost analysis
• Embodied carbon and life cycle assessment
• Industrialised construction, Modern Methods of Construction (MMC), DfMA and offsite manufacturing
• Automated compliance checking
• Artificial intelligence and large language models in the built environment
• Digital twins and IoT
• Lean construction, productivity and process improvement
• Circular economy and construction waste reduction
• Knowledge-based engineering and design automation
• Industry-academic collaboration and Knowledge Transfer Partnerships

• PhD, Queensland University of Technology, Australia, 2005

• BSc in Quantity Surveying (with Commendation), Hong Kong Polytechnic University, 1994
• Chartered Quantity Surveyor, Member of the Royal Institution of Chartered Surveyors (MRICS), since 1998
• SEDA Recognised Supervisor, since December 2021

• Member, Royal Institution of Chartered Surveyors (RICS), since 1998
• Member, EPSRC Peer Review College, since 2023
• Advisory Board Member, West Midlands Advanced Construction Cluster (WMACC), since 2025
• External Grant Assessor, Hong Kong Earmarked Research Grant, since 2007

Professor Cheung currently teaches on the following courses:

• MSc Quantity Surveying
• MSc Construction Project Management
• BSc Quantity Surveying

• AI- and LLM-enabled automated compliance checking for the built environment

• Semantic/OpenBIM approaches to building information and regulatory compliance
• AI-enabled multi-agent systems for early-stage sustainable building design
• Industrialised construction, MMC, DfMA and offsite manufacturing
• Productivity, waste reduction and performance improvement in offsite construction
• Life cycle costing, cost intelligence and embodied carbon
• Digital twins and IoT for indoor environmental quality and healthy homes
• Circularity assessment of building materials and prefabricated components
• Reduction of single-use plastics in construction
• AI-driven supply-chain resilience and logistics for offsite construction
• Infrastructure industrialisation, benchmarking and should-cost approaches

Professor Cheung is currently supervising 11 PhD students whose research covers:

• Circularity assessment of building materials at the product manufacturing stage
• Digital twins for healthy homes and occupants with COPD
• AI-driven disruption mitigation and supply-chain resilience in offsite construction logistics
• Reduction of single-use plastic reliance in UK construction
• Nutrient neutrality requirements and their impact on UK housing projects
• Semantic OpenBIM frameworks for circularity assessment of prefabricated building components
• Immersive VR for architectural education and experiential learning
• Learning from failure in Modern Methods of Construction
• Automated compliance checking using regulation interpretation and large language models
• LLM-powered multi-agent systems for early-stage sustainable building design
• Climate AI approaches to energy-system probing

Professor Cheung has also supervised three completed PhDs in knowledge-based cost modelling for offsite manufacturing, material waste in offsite construction, and digital twins for asthma-specific indoor environmental quality.

Cheung, F. K., Hradil, P., Lavikka, R., Beach, T., Breitenfelder, K., Costa, G. & Patlakas, P. (2026), 鈥淚nstitutionalizing automated compliance checking (ACC): a cross-context analysis of implementations in Europe鈥�, Building Research & Information, 1鈥�18.

Senousy, Y., Cheung, F., Beach, T., Elezaj, O. & Vakaj, E. (2026), 鈥淎utomated compliance checking in AEC in the era of AI and LLMs: A review (2022鈥�2025)鈥�, Automation in Construction, 191, 107165.

Khosh-Amadi, N., Talebi, S. & Cheung, F. (2026), 鈥淩ESPIRA-DT: A Digital Twin Framework for Proactive IAQ Management in Asthma-Sensitive Residential Buildings鈥�, Journal of Building Engineering, 116909.

Khosh-Amadi, N., Talebi, S., Cheung, F. & Al-Adhami, M. (2025), 鈥淒evelopment of a spatially contextualised and AI-enabled digital twin for asthma-specific indoor air quality management鈥�, Journal of Building Engineering, 115027.

Ayinla, K., Cheung, F. & Towe, B. (2025), 鈥淭ime-driven activity-based costing (TDABC) model for performance optimisation of offsite manufacturing methods housebuilding鈥�, Construction Management and Economics, 1鈥�20.

Patlakas, P., Christovasilis, I., Riparbelli, L., Cheung, F. & Vakaj, E. (2024), 鈥淪emantic web-based Automated Compliance Checking with integration of Finite Element Analysis鈥�, Advanced Engineering Informatics, 61, 102448.

Hadi, A., Cheung, F., Adjei, S. & Dulaimi, A. F. (2023), 鈥淓valuation of lean off-site construction literature through the lens of Industry 4.0 and 5.0鈥�, ASCE Journal of Construction Engineering and Management, 149(12).

Professor Cheung has extensive experience of translating research into industry practice through Innovate UK projects, Knowledge Transfer Partnerships and commissioned research. Key examples include:

• Hadley Group 鈥� Academic Lead for the 拢186k KTP developing the Hadley Offsite Modular Engineering (HOME) Tool; currently Academic Advisor on a 拢207k KTP embedding data integration and AI/ML capabilities within the business.
• Hadley Group / West Midlands DfMA House project 鈥� Principal Investigator on the Innovate UK-funded project developing a knowledge-based engineering approach for cost-efficient, low-impact housing. The project contributed to Hadley investing approximately 拢3 million in modular house production.
• National Highways 鈥� Principal Investigator on the 拢50k project developing an Industrialised Construction/MMC assessment framework covering classification, benchmarking, adoption, procurement and should-cost modelling.
• Davicon Group 鈥� Academic Lead for an awarded 拢223k KTP to develop an integrated parametric digital platform for design automation, commencing September 2026.
• Walsall Housing Group (whg) 鈥� Principal Investigator for the ECHO project evaluating embodied carbon across alternative house framing systems.