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Mr Muhammad Helal Uddin
Teams and roles for Muhammad Helal Uddin
Marie Curie Early Stage Researcher
Publication
2025
- Khalid, J. et al. 2025. Self-tunning converter control of pmsg-based wind turbine using multi-agent deep reinforcement learning. Presented at: UPEC 2024 Cardiff, Wales 02-06 September 2024. Proceedings 59th International Universities Power Engineering Conference (UPEC). IEEE(10.1109/upec61344.2024.10892442)
- Uddin, M. H. et al. 2025. Reliability and cost assessment of AC/DC networks for offshore wind farm integration. Presented at: UPEC 2024 Cardiff, Wales 02-06 September 2024. Proceedings 59th International Universities Power Engineering Conference (UPEC). IEEE(10.1109/upec61344.2024.10892590)
- Uddin, M. H. et al. 2025. Fast and accurate aggregated modelling for wind farms using gaussian mixture model. Presented at: Energy Conversion Congress & Expo Europe (ECCE Europe) Birmingham, United Kingdom 1-4 September 2025. Proceedings of the Energy Conversion Congress & Expo Europe. IEEE. , pp.1-6. (10.1109/ecce-europe62795.2025.11238822)
Conferences
- Khalid, J. et al. 2025. Self-tunning converter control of pmsg-based wind turbine using multi-agent deep reinforcement learning. Presented at: UPEC 2024 Cardiff, Wales 02-06 September 2024. Proceedings 59th International Universities Power Engineering Conference (UPEC). IEEE(10.1109/upec61344.2024.10892442)
- Uddin, M. H. et al. 2025. Reliability and cost assessment of AC/DC networks for offshore wind farm integration. Presented at: UPEC 2024 Cardiff, Wales 02-06 September 2024. Proceedings 59th International Universities Power Engineering Conference (UPEC). IEEE(10.1109/upec61344.2024.10892590)
- Uddin, M. H. et al. 2025. Fast and accurate aggregated modelling for wind farms using gaussian mixture model. Presented at: Energy Conversion Congress & Expo Europe (ECCE Europe) Birmingham, United Kingdom 1-4 September 2025. Proceedings of the Energy Conversion Congress & Expo Europe. IEEE. , pp.1-6. (10.1109/ecce-europe62795.2025.11238822)
Biography
Muhammad Helal is a PhD researcher at Cardiff University, working in collaboration with Offshore Renewable Energy Catapult (OREC) as industrial partner under the ADOreD (Accelerating the Deployment of Offshore Wind using DC Technology) PhD program. His PhD research focuses on exploring offshore wind farm modelling in order to optimise accuracy and fast computation . This will enhance the reliability and cost-effectiveness of offshore wind farm connections.
Prior to this, He pursued the Erasmus Mundus Joint master’s degree in Sustainable Transportation and Electrical Power Systems, studying at the University of Nottingham (UK), the University of Oviedo (Spain), and the Polytechnic Institute of Coimbra (Portugal) in 2019. He spent several years in academia working as a Lecturer in undergraduate level.