معرفی
Dr. Yi Li is a Lecturer in Applied Mathematics at the School of Mathematical and Physical Sciences, University of Sheffield. His research focuses on fluid mechanics, particularly turbulence, with emphases on flow optimization, simulation, and stochastic modeling. He explores topics such as downscaling in multi-scale systems, data assimilation for turbulence modeling, and chaos synchronization in turbulent flows.
Research Themes:
- Downscaling: Explores self-similarity properties in turbulent flows to improve subgrid-scale modeling.
- Flow Optimization: Combines machine learning and data assimilation to enhance turbulence predictions, addressing challenges like pollution control and weather forecasting.
- Stochastic Modelling: Investigates particle and bubble dynamics in turbulent flows to understand mixing and dispersion processes.
Teaching: Dr. Li teaches advanced modules including Operations Research, Magnetohydrodynamics, and Topics in Advanced Fluid Mechanics.
Publications: His work spans fluid dynamics, computational methods, and signal processing, with notable contributions to turbulence modeling, ultrasonic applications, and data-driven approaches. Recent publications focus on machine learning applications in bubbly flows and 4DVAR data assimilation techniques.
PhD Supervision: Offers supervision in fluid mechanics, turbulence, and interdisciplinary projects combining data science with fluid dynamics. Prospective students can contact him via email.
