Structured Differentiable Optimization for Efficient Decision-focused Learning in Power Systems
2026arXiv preprint arXiv:2608.04189
Research
Publications and research themes in machine learning, optimisation, and power systems.
My research lies at the intersection of machine learning, optimisation, and system dynamics, with a focus on efficient, robust, and secure power-system operation and control under uncertainty and high penetrations of renewable energy.
Learning-augmented decision-making
This theme brings prediction and operational decision-making into a single framework, including learning-augmented optimisation, decision-focused learning, machine unlearning, and data-driven stability constraints.
IEEE Transactions on Power Systems
IEEE Transactions on Power Systems
IEEE Transactions on Power Systems
2025 IEEE Power & Energy Society General Meeting (PESGM), 1–5
IEEE Transactions on Power Systems
Proceedings of the AAAI Conference on Artificial Intelligence, 38(14), 16220–16227
2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1–5
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Efficient power-system optimisation
New computational approaches for difficult scheduling and operational problems, including quantum optimisation.
* Corresponding author
IEEE Transactions on Power Systems
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Digitalisation and cyber–physical security
Methods that combine data, physical models, and robust control to protect increasingly digitalised power systems.
IEEE Transactions on Industrial Informatics, 22(5), 4258–4269
2023 IEEE Belgrade PowerTech
Cyber–Physical Risk Assessment for False Data Injection Attacks Considering Moving Target Defences
2023International Journal of Information Security, 22(3), 579–589
2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1–5
IEEE Transactions on Smart Grid, 14(4), 3176–3188
IEEE Transactions on Information Forensics and Security, 18, 29–40
Proceedings of the IEEE, 111(7), 744–761
arXiv preprint arXiv:2011.01816
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Policy and governance
Research on data governance, regulation, and the policy frameworks surrounding digital and connected infrastructure.
2025 60th International Universities Power Engineering Conference (UPEC), 1–6
Proceedings of the 2024 ACM Internet Measurement Conference, 749–750
arXiv preprint arXiv:2407.09117
Proceedings of the ACM SIGCOMM Joint Workshops on TAURIN and BGI, 6–11
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Broader machine-learning research
Selected work in uncertainty quantification, deep-learning optimisation, and multi-agent reinforcement learning.
* Corresponding author
arXiv preprint arXiv:2603.20472
Advances in Neural Information Processing Systems, 37, 133541–133570
Advances in Neural Information Processing Systems, 34, 3271–3284
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