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Northumbria University is renowned for the calibre of its business-ready graduates. Our alumni network has over 253,000 graduates based in 178 countries worldwide in a range of sectors, our alumni are making a real impact on the world.
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Dr Lauren McMillan is a Lecturer at the University of Northumbria. After completing her Ph.D. in the Infrastructure Systems Institute at University College London (UCL), she continued her research as a Postdoctoral Research Fellow in UCL’s Institute of Risk and Disaster Reduction before joining the University of Northumbria. Lauren’s research focuses on enhancing the sustainability and resilience of complex infrastructure systems, employing systems-based approaches to failure management. She explores methods to bolster infrastructure resilience to chronic and discrete hazards, including machine learning and deep learning-based techniques.
- Please visit the Pure Research Information Portal for further information
- High impact low probability events: research landscape and future opportunities, McMillan, L., Pescaroli, G., Gordon, M., Maraschini, M., Torresan, S., Palma-Oliveira, J., Rosa, B., Sarroeira, A., Trump, B., Linkov, I. 1 May 2026, In: Natural Hazards
- Real-time weather-adaptive water flow and leakage forecasting using an explainable unified deep neural network, Fayaz, J., McMillan, L., Cardenas, V., Varga, L. 19 Mar 2026, In: Applied Soft Computing
- Definitions and taxonomy for High Impact Low Probability (HILP) and outlier events, Pescaroli, G., McMillan, L., Gordon, M., Aydin, N., Comes, T., Maraschini, M., Palma Oliveira, J., Torresan, S., Trump, B., Pelling, M., Linkov, I. 1 Sep 2025, In: International Journal of Disaster Risk Reduction
- Artificial intelligence–enabled self-healing infrastructure systems, McMillan, L. 28 Mar 2024
- Domain-informed variational neural networks and support vector machines based leakage detection framework to augment self-healing in water distribution networks, McMillan, L., Fayaz, J., Varga, L. 1 Feb 2024, In: Water Research
- Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering, McMillan, L., Fayaz, J., Varga, L. 1 Dec 2023, In: Sustainable Cities and Society
- Infrastructure and city ontologies, Varga, L., McMillan, L., Hallett, S., Russell, T., Smith, L., Truckell, I., Postnikov, A., Rodger, S., Vizcaino, N., Perkins, B., Matthews, B., Lomax, N. 1 Jun 2023, In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
- Machine-Learning-Based Health Monitoring and Leakage Management of Water Distribution Systems, McMillan, L., Fayaz, J., Varga, L. 17 Jul 2023, 2022: Proceedings of the 3rd International Conference on Evolving Cities, Southampton, University of Southampton
- Towards self-healing in water infrastructure systems, McMillan, L., Varga, L. 1 Jun 2023, In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
- A review of the use of artificial intelligence methods in infrastructure systems, McMillan, L., Varga, L. 1 Nov 2022, In: Engineering Applications of Artificial Intelligence
- Please visit the Pure Research Information Portal for further information
- Participating in a conference, workshop, ...: UKADR 2025 2025
- Participating in a conference, workshop, ...: Society for Risk Analysis Annual Meeting 2024
- Participating in a conference, workshop, ...: Multi-hazard DRR Academy for young researchers and practitioners 2024
- PhD March 28 2024
- MEng July 05 2019
- Associate Fellowship - Advance HE AFHEA
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