Regular biography
Daniel Dehtyriov is a Research Fellow at the Mathematical Institute, University of Oxford, within the Department of MATH. His research focuses on machine learning and data science, with recent publications addressing topics such as online optimisation of RANS models, tidal turbine arrays, and offshore wind farm design. Dehtyriov's work includes contributions to the European Wave and Tidal Energy Conference and the Journal of Fluid Mechanics. His profile page provides further details on his research and publications.
Scholar-generated biography
Daniel Dehtyriov is a researcher at the University of Oxford specializing in fluid mechanics. His work focuses on the simulation and analysis of complex fluid dynamics phenomena, including vortex interactions, turbine performance, and turbulent flow modeling. Dehtyriov's research explores both theoretical and computational approaches to understanding fluid behavior, with applications in renewable energy systems and aerodynamic design. His publications address topics such as counter-rotating vortex pairs, actuator disc theory, and Reynolds-averaged Navier-Stokes simulations enhanced by machine learning. His studies contribute to the optimization of energy extraction and the assessment of fluid-structure interactions in engineering systems.