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Dr Adib Allahham

Assistant Professor

School: Engineering, Physics and Mathematics

Adib Allahham

Dr. Adib Allahham’s expertise lies in smart grids, electricity distribution, the power sector, and multi-vector energy systems. His work focuses on addressing the urgent need to cost-effectively decarbonise the energy sector over the next 30 years by enabling innovative network integration of new energy generation and incorporating diverse energy vectors, including hydrogen. Through a combination of computer simulations, laboratory investigations, and demonstration projects, Dr. Allahham contributes to generating new knowledge that supports this critical transition.

  • Please visit the Pure Research Information Portal for further information
  • A Cooperative Planning Framework for Hydrogen Blending in Great Britain’s Integrated Energy System, Abuella, M., Allahham, A., Walker, S. 22 Apr 2026, In: Energies
  • A digital twin framework for flexibility management using electric vehicle aggregators with embedded cyber-attack detection, Muhsen, H., Allahham, A., Al-Halhouli, A., Qandil, M. 1 Jun 2026, In: Sustainable Energy, Grids and Networks
  • A physics-informed machine learning framework for climate-aware digital twins in decentralised energy systems, Cavus, M., Jiang, J., Allahham, A., Sun, H. 7 May 2026, In: Applied Energy
  • Cyber-Flexible Security Services for Resilient Operation of Renewable-Rich Power Systems, Nikkhah, S., Rabiee, A., Allahham, A., Alahyari, A., Gadoue, S., Kamwa, I., Giaouris, D. 15 Apr 2026, In: IEEE Transactions on Power Systems
  • Deep Multi-Task Forecasting of Net-Load and EV Charging with a Residual-Normalised GRU in IoT-Enabled Microgrids, Cavus, M., Jiang, J., Allahham, A. 7 Jan 2026, In: Energies
  • Digital twins for hazard-resilient power grids: A systematic review and roadmap, Cavus, M., Jiang, J., Allahham, A., Rameshrao, A., Scullion, E., Malamud, B., Sun, H., Ng, W. 1 Jul 2026, In: Renewable and Sustainable Energy Reviews
  • Game theory approaches to hydrogen infrastructure investment planning in Great Britain: A comparative analysis of competitive and cooperative frameworks, Abuella, M., Allahham, A., Walker, S. 24 Mar 2026, In: International Journal of Hydrogen Energy
  • Learning-enhanced stochastic model predictive control with trustworthy forecasting for resilient multi-energy microgrid operation, Cavus, M., Jiang, J., Allahham, A., Sun, H. 30 Jun 2026, In: Applied Energy
  • Market-Based Control of Integrated Electricity-Hydrogen Systems via Peer-to-Peer Co-Trading, Allahham, A., Rufa’I, N., Walker, S. 31 Mar 2026, In: Energies
  • A Game-Theoretic Framework for Hydrogen Integration to Accelerate Energy Transitions in Great Britain, Abuella, M., Allahham, A., Walker, S. 24 Oct 2025, 14th International Conference on Renewable Power Generation (RPG 2025), IET
  • Control Engineering PhD October 22 2008
  • Electrical Engineering MSc August 31 2004
  • Electrical Engineering BEng

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