Novel algorithms and software toolset for advanced urban data analytics

We aim to develop novel and cutting-edge methods, algorithms, and software tool sets that can operate on multi-modal data to estimate, quantify, analyse, and predict spatio-temporal distribution of various socio-economic, environmental, and health indicators associated with an urban space.