Regular biography
Miguel Beneitez Galan is a Lecturer in Fluid Mechanics at The University of Manchester, Department of Mechanical and Aerospace Engineering. His research interests include nonlinear dynamics, data science, and fluid problems, with a focus on turbulence, complex fluids, and machine learning applications. He explores the stability of complex fluid jets and biological flows, combining numerical simulations with analytical approaches. Miguel is actively seeking PhD students and Postdoctoral Fellows, offering fully funded opportunities. His work contributes to Sustainable Development Goals related to clean energy and climate action.
Scholar-generated biography
Miguel Beneitez is a researcher at the University of Manchester with expertise in fluid dynamics, nonlinear dynamics, machine learning, and applied mathematics. His work focuses on understanding complex fluid behaviors through advanced computational and analytical methods. He has published extensively on topics such as polymer diffusive instability, elastic turbulence, and the application of machine learning to fluid simulations. His research also explores the dynamics of transitional wall-bounded flows and the use of explainable deep learning for turbulence control. Beneitez's contributions span both theoretical and applied aspects of fluid mechanics, with an emphasis on interdisciplinary approaches combining physics and data science.