Krishna's work involves developing massively parallel micro-/macro-scale numerical methods. Krishna works on large-scale big data frameworks for city-scale simulations and infrastructure monitoring. Multi-scale city simulation The world’s population continues to urbanise. Here in the UK, more than 80% of the population lives in the cities. Cities increasingly need to be able to do more with less, to provide for the well-being of their citizens in a truly sustainable way. Existing infrastructure is challenged by the need to increase load and usage – be that number of passengers carried, numbers of vehicles or volume of water used – and the requirement to maintain the existing infrastructure while operating at current capacity. These two demanding challenges create issues on ageing infrastructure, which we see in our everyday life. The strategy adopted in this study is a “bottom-up” for discrete spatio-temporal dynamical processes that is agent-based (human behavior) and cellular automata (physical infrastructure). I'm working on developing a multi-scale tool (from street-level to city-level) to predict the response of strongly coupled infrastructure networks for city-scale infrastructure operators, local governments and citizens using real-time, simulation and sensor data.