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Dr Muhammed Cavus

Research Fellow

School: Engineering, Physics and Mathematics

Muhammed Cavus

  • Please visit the Pure Research Information Portal for further information
  • 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
  • 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. 28 Mar 2026, In: Renewable and Sustainable Energy Reviews
  • KASVA: A Variational Deep Learning Framework for Measuring Regional Sustainability and Inequality, Celiktas, C., Cure, F., Cavus, M. 12 Feb 2026, In: Sustainability
  • Sustainable EV adoption with clustering and predictive modelling for optimal charging infrastructure in the West Midlands and North East UK, Cavus, M., Wang, S., Deb, S., Sharma, A., Bell, M., Dissanayake, D. 7 May 2026, In: Scientific Reports
  • Advances in Energy Storage, AI Optimisation, and Cybersecurity for Electric Vehicle Grid Integration, Cavus, M., Ayan, H., Bell, M., Dissanayake, D. 29 Aug 2025, In: Energies
  • Advancing Power Systems with Renewable Energy and Intelligent Technologies: A Comprehensive Review on Grid Transformation and Integration, Cavus, M. 15 Mar 2025, In: Electronics
  • A Health-Aware Hybrid Reinforcement–Predictive Control Framework for Sustainable Energy Management in Photovoltaic–Electric Vehicle Microgrids, Cavus, M., Bell, M. 24 Dec 2025, In: Batteries
  • Deep charge-fusion model: Advanced hybrid modelling for predicting electric vehicle charging patterns with socio-demographic considerations, Cavus, M., Ayan, H., Bell, M., Oyebamiji, O., Dissanayake, D. 7 Mar 2025, In: International Journal of Transportation Science and Technology
  • Deep-Fuzzy Logic Control for Optimal Energy Management: A Predictive and Adaptive Framework for Grid-Connected Microgrids, Cavus, M., Dissanayake, D., Bell, M. 19 Feb 2025, In: Energies

  • Electrical and Electronic Engineering PhD July 02 2024
  • Electrical and Electronic Engineering MSc August 30 2019
  • Mechanical Engineering BEng (Hons) June 02 2014
  • Fellow FHEA 2025


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