Current fundings
- Royal Society Research Grant: Integrating Drone and BIM for Automated Visual Inspection in Utility Tunnels, £20k, 2024-2025, PI.
- Horizon Europe: WILSON-Distributed data modelling and Federated Digital Twinning for lifecycle data-driven sustainable operation and management of buildings and districts, £613k (€5 million in total), 2024-2028, Co-I.
- Royal Society International Exchange Scheme: Demand Flexibility Modelling and Optimal Scheduling in Building Energy Systems through Plug-and-Play Appliance Integration, £12k, 2024-2026, PI.
- Innovate UK: Aquila: a novel AI Digital Twin tool for Construction Sites, £135k, 2024-2025, Co-I.
- Knowledge Transfer Partnership (KTP): Knowledge-based engineering and Design for Manufacturing and Assembly (DfMA) in Industrialised construction (with Merit Holdings LTD.), £409k, 2024-2026, Co-I and KTP associate supervisor.
- 1851 Royal Commission: Integrating Self-programming Artificial General Intelligence in UK Clean Air Zones Using Large Language Models, £100k, 2024-2025, PI.
- EPSRC-DfT: UK National Clean Maritime Research Hub (UK-MaRes Hub), £548k (£7.4m in total) with additional in-kind match funding from project partners, 2023-2027, Co-I.
Other selected projects
- West Cambridge Digital Twin Research Facility (Funded by Construction Innovation Hub through the UKRI Industrial Strategy Fund, 2019-2022): establish a national research facility and demonstrate how to develop a federated digital twin and its value.
- TwinAIR: Digital Twins Enabled Indoor Air Quality Management for Healthy Living (Funded by Horizon Europe, 2022-2025): develop an indoor air quality-oriented digital twin model for determining the best building operation and maintenance strategy.
- Creating an inter-hospital resilient network for pandemic response based on blockchain and dynamic digital twins: a systems approach for now and future (Funded by UCL CBT Project on COVID-19 and Distributed Ledger Technologies, 2021): demonstrate the inter-hospital network to configure digital information for pandemic rapid response using blockchain.
- Using IoT data to produce Mixed-Fidelity Building Models (Funded by Pitch-In Mini Project Award through Research England, 2020): establish a mix-fidelity multicomponent building energy model, leveraging sparse IoT sensors and virtual sensing.
- Research on big data analysis and cloud service for urban drinking water network safety (Funded by Natural Science Foundation of China, 2016-2018): develop a data-driven approach to detect and locate the water leakages in urban water supply infrastructure.