| AI | Cloud Computing | Numerical Model | Optimization | Physics | Energy |
Pyclmuapp: An integration of the Community Land Model Urban (CLMU) in a containerized environment for accessible climate modeling.
RWTSP-Opt: Coupling a new urban climate model process with AI surrogates and multi-objective optimization to design heat-resilient, water-aware cities.
ERA5-Land UK: Evaluating temperature and dew point biases in built-up environments and tracing their impacts on heat risk and building energy studies.
CLMU-RL: AI-driven optimization strategies for urban resilience, managing energy trade-offs and thermal comfort.
UrbFLAML: Efficient, low-carbon urban climate emulation via Automated Machine Learning (AutoML).
UCformer: A Physics-Guided Transformer architecture for simulating nonlinear urban surface-atmosphere interactions.