土木及环境工程学系相关活动
Civil Engineering Departmental Seminar
- Approach to Learning Project Management
MPhil in Civil Engineering - SparseSAM: Segment Anything in Sparse Point Clouds.
MPhil in Civil Engineering - SparseSAM: Segment Anything in Sparse Point Clouds.
Civil Engineering Departmental Seminar
- AI-based Digital Twinning the Built Environment
PHD in Civil Engineering - Enhancing the performance of the adoption of Building Information Modelling (BIM) and Common Data Environment (CDE) using risk management and performance contract techniques
MPhil in Civil Engineering - Dynamic Origin-Destination Estimation Using Link Counts: A Physics-Informed Deep Learning Approach
PHD in Civil Engineering - Radial Consolidation Considering Soil Structure and Non-linear Creep
CICTP 2024 PRE-CONFERENCE WORKSHOP
- NAVIGATING THE FUTURE OF SMART MOBILITY
Civil Engineering Experience Certificate Program CEECP 2024 for Secondary School Students
Civil Engineering Departmental Seminar
- The nonconstancy of the carbon dioxide radiative forcing
Civil Engineering Departmental Seminar
- Mechanistic Study of Reactive Radical and Nitrosamine Formation in Breakpoint Chlorination Chemistry
Civil Engineering Departmental Seminar
- Role of matrix components during oxidative water treatment: What can we learn from reactions of chemical oxidants with micropollutants?
PHD in Civil Engineering - Entrainment of Unsaturated Hydrophobic Soil by Post-fire Debris Flows
Civil Engineering Departmental Seminar
- Scientific studies of debris-flow avulsion and dams, and their implications on sedimentology and geologic hazards
PHD in Civil Engineering - System Optimal Routing of Autonomous Vehicles under Equilibrium
PHD in Civil Engineering - Cyclic thermo-hydro-mechanical behaviour of vegetated soil slope under climate change: constitutive and numerical modelling
Civil Engineering Departmental Seminar
- Modeling Large-Scale Pedestrian Networks: From Traffic Assignment to Machine Learning Approaches
MPhil in Civil Engineering - Prediction of Rocking Behaviour via Ensemble Machine Learning Methodologies
PHD in Civil Engineering - Artificial intelligence-aided aerodynamic pressure and flow field prediction
