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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
  • Advancing Cyber Financial Safety in Smart Energy Communities Through Behavior Centered AI Modeling, Cavus, M. 18 Aug 2026, Financial Literacy in the Age of Artificial Intelligence, Cham, Switzerland, Springer
  • A physics-informed machine learning framework for climate-aware digital twins in decentralised energy systems, Cavus, M., Jiang, J., Allahham, A., Sun, H. 1 Aug 2026, In: Applied Energy
  • 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. 1 Jun 2026, In: International Journal of Transportation Science and Technology
  • 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-Twin Attention-Augmented Adaptive Model Predictive Control for Degradation-Aware Residential Battery Energy Management, Cavus, M. 9 Oct 2026, In: Batteries
  • 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
  • KASVA: A Variational Deep Learning Framework for Measuring Regional Sustainability and Inequality, Celiktas, C., Cure, F., Cavus, M. 12 Feb 2026, In: Sustainability
  • 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
  • Prediction of EV Energy Consumption Through a Hybrid Modeling Framework Involving Use of Machine Learning, Dogan, F., Cavus, M. 13 Jul 2026, 2026 12th International Conference on Control, Decision and Information Technologies (CoDIT), Piscataway, United States, IEEE
  • 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
  • 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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