معرفی
Dr. Sarah Bentley is an Assistant Professor at Northumbria University, part of the Faculty of Engineering and Environment. She holds a PhD in Mathematics from the University of Reading (2019) and a MMath from Durham University (2013). Her research focuses on space physics, space weather forecasting, and the application of machine learning to understand magnetospheric dynamics. She investigates ultra-low frequency (ULF) waves and their role in energizing Earth’s radiation belts, with a particular interest in developing predictive models for space weather impacts.
- Joined Northumbria as a Vice-Chancellor's Fellow in 2020.
- Current projects include STFC-funded research on solar and space physics, emphasizing radial diffusion and wave-particle interactions.
Her work bridges computational methods and physical phenomena, leveraging AI to analyze large datasets from spacecraft observations. She supervises PhD students in topics like graph neural networks for magnetic field characterization and machine learning-driven space weather forecasting.
Key contributions include probabilistic models for ULF wave prediction, radial diffusion benchmarking, and causal network analysis for space weather variables. She actively engages in EDI initiatives, advocating for neurodivergent inclusivity in academic environments.
