A5041947723- BIM and Construction Integration
- 3D Surveying and Cultural Heritage
- Infrastructure Maintenance and Monitoring
- Building Energy and Comfort Optimization
- Concrete Corrosion and Durability
- Innovations in Concrete and Construction Materials
- Robotics and Sensor-Based Localization
- Wind and Air Flow Studies
- Environmental Impact and Sustainability
- Manufacturing Process and Optimization
- Concrete and Cement Materials Research
- Remote Sensing and LiDAR Applications
- Air Quality Monitoring and Forecasting
- 3D Modeling in Geospatial Applications
- Vehicle emissions and performance
- Facilities and Workplace Management
- Advanced Manufacturing and Logistics Optimization
- Architecture and Computational Design
- Magnesium Oxide Properties and Applications
- Air Quality and Health Impacts
- Topology Optimization in Engineering
- Urban Heat Island Mitigation
- Structural Health Monitoring Techniques
- Advanced Vision and Imaging
- Recycled Aggregate Concrete Performance
National University of Singapore
2020-2025
China Railway Construction Corporation (China)
2021
University of Hong Kong
2014-2020
Hong Kong University of Science and Technology
2014-2020
As air pollution becomes an increasing concern globally, governments, and research institutions have attached great importance to quality prediction help give early warnings prevent the impacts of pollution. The existing methods for forecasting include deterministic methods, statistical machine learning, deep learning methods. Deep learning-based attracted much attention these years due its high performance powerful modeling capability. However, majority only focus on places where there...
Construction supply chain management (CSCM) requires the tracking of material logistics and construction activities, an integrated platform, certain coordination mechanisms among CSCM participants. Researchers have suggested use building information modeling (BIM) technology to monitor activities manage chains. However, because warehousing deliveries are mostly performed outside project sites, from a single BIM model is insufficient in meeting needs management. In this research, framework...
Traffic accidents have been one of the most important global public problems. It has caused a severe loss human lives and property every year. Studying influential factors can help find reasons behind. This facilitate design effective measures policies to reduce traffic fatality rate improve road safety. However, existing research either adopted methods based on linear assumption or neglected further evaluate spatial relationships. In this paper, we proposed methodology framework XGBoost...
Regular building inspection and maintenance has been deemed as a necessary preventive measure to maintain the functionality, integrity aesthetics of buildings. 2D computer vision demonstrated good capability in detecting classifying surface defects, but such image-based methods provided limited support represent global information defects concerning their positions affecting areas for entire building. Therefore, this paper presents an automated 2D3D approach, with aid transfer learning,...