Timur Zaripov

Timur Zaripov is a Senior Lecturer in the School of Arch, Tech and Eng at the University of Brighton, specializing in mechanical engineering and computational fluid dynamics. He teaches modules including Energy Systems, Engineering Mathematics, and Fluid Dynamics applications in automotive engineering. His research focuses on mathematical and numerical modeling of multiphase flows, particularly gas-particle and gas-droplet dynamics, leveraging CUDA parallel computing and ANSYS Fluent integration. He has developed high-performance numerical codes for Lagrangian particle tracking and droplet evaporation models.

Education: PhD in Mathematics from Kazan Federal University (2014). Research interests include novel applications of machine learning in CFD, particularly for fluid dynamics and heat transfer. Supervision expertise covers multiphase flow modeling with ML integration.

Key research contributions include Eulerian-Lagrangian methods for particle dynamics, adaptive quadrature algorithms, and spray modeling in gasoline engines. His work spans 18 peer-reviewed articles from 2009 to 2023, emphasizing numerical simulation advancements in multiphase systems.

Collaborations include consultancy for the BRITE Access to Expertise Project (2023). Active in organizing academic workshops on AI tools like ChatGPT in engineering education.