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: Designing lightweight TTA algorithms that can recalibrate models at the edge under strict latency and computational constraints. Efficiency and Reliability: Balancing the trade-offs between adaptation
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that explain how humans learn, adapt and stabilise navigation behaviour in urban environments. The project will combine methods from transportation science, artificial intelligence, computational neuroscience
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engineering, energy engineering, engineering physics, or related discipline, as well as a keen interest in computational modelling and multiphysics analysis. You should be motivated to pursue fundamental and
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed