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develop individual-based models (also called agent-based models) to simulate insect-plant interactions. These are computer simulations where each individual animal is simulated in detail within a virtual
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systems and swarm robotics. The project builds on well established computational and mathematical modelling techniques to achieve its aims. Departure points will be agent-based simulations, optimisation
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for Society with Atlassian Indigenous (Energy) Explainability of Reinforcement Learning Policies for Human-Robot Interaction Decision AI for biodiversity Development of a GIS-Based Model for Active Citizenry
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as “range anxiety” are amongst the top barriers to the wide adoption of EVs. This project aims to develop a paradigm for data-driven modelling of EV behavours, optimisation for EV charging station