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, G., Gazeau, F., Gateau, J., 2023. Quantitative, precise and multi-wavelength evaluation of the light-to-heat conversion efficiency for nanoparticular photothermal agents with calibrated photoacoustic
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the advice at How to apply for a research degree . In your EOI, nominate Professor Raja Jurdak as your proposed principal supervisor, and copy the link to this scholarship website into question two
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will: Develop robust control strategies that leverage semantic data structures for rapid deployment. Create workflows to bridge BIM, energy simulation engines (e.g., EnergyPlus, Modelica), and control
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photothermal agents with calibrated photoacoustic spectroscopy. Nanoscale 15, 17085–17096. https://doi.org/10.1039/D3NR03727D Lucas, T., Sarkar, M., Atlas, Y., Linger, C., Renault, G., Gazeau, F., Gateau, J
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-native 5G/6G networks. The project will explore the mechanisms, control loops, and open interfaces needed to use Generative AI (GenAI) and Agentic AI safely and efficiently to operate modern softwarized
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, control loops, and open interfaces needed to use Generative AI (GenAI) and Agentic AI safely and efficiently to operate modern softwarized network infrastructures. Telecom networks are rapidly moving
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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. This project aims to uncover fundamental "algorithms" the mammalian brain uses to predict or choose between dynamically moving agents, working at the intersection of ethology, computational behavior and systems
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, ablations), including simulator- or metamodel-generated rollouts. Implement, test, and benchmark RL methods for policy discovery (e.g., multi-agent, multi-objective, uncertainty-aware, and/or safe RL), and
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methods, network flow modelling and multi-agent or decision-simulation approaches, the student will assess trade-offs between local objectives and national-level resilience outcomes. A further strand will