Regular biography
Dr. Alex Skillen is a Lecturer in Engineering Simulation within the Department of Mechanical and Aerospace Engineering at The University of Manchester. His research focuses on Computational Fluid Dynamics and machine learning, with applications in stratified flows, environmental flows, and magnetohydrodynamics. Dr. Skillen teaches courses such as AERO20121 and AERO40041. His work contributes to Sustainable Development Goals 7 and 14. He is affiliated with the Energy Institute for Data Science and AI and the Dalton Nuclear Institute.
Scholar-generated biography
Alex Skillen is a researcher at the University of Manchester with a focus on turbulence and machine learning. Their work explores advanced computational methods for fluid dynamics, including large eddy simulation, turbulence modelling, and fluid-structure interaction. Skillen's research spans both theoretical and applied aspects, such as the numerical prediction of hot-spot phenomena in transformers, the study of wing dynamics with leading-edge undulations, and the development of high-performance open-source solutions for multiphase flows. They also investigate turbulence super-resolution using generative models and hybrid RANS-LES frameworks for thermal-hydraulics systems. Their contributions aim to improve accuracy and efficiency in complex fluid dynamics simulations.