Véronique Dias obtained her PhD at UCL in 2003, then worked as Postdoctoral Researcher at the Laboratoire de Physico-Chimie de la Combustion (Faculty of Science). In 2009, she moved to the Institute of Mechanics, Materials and Civil Engineering, and since 2012, she has a position of Research Associate. In 2015, she obtained her HDR (Habilitation à Diriger la Recherche) at the Université of Orléans (France).
Her research interests cover the combustion and kinetics of alternative fuels by the elaboration of kinetic models for hydrocarbons and oxygenated species. These projects in combustion include both experimental and numerical parts.
Since 2016, Véronique Dias also works on a project on energy storage, and more specifically, in chemical form.
Matthieu Duponcheel obtained his PhD at UCL in 2009, then worked as a F.R.S-FNRS Postdoctoral Researcher and, since 2011, he has a position as Research Engineer. He works on externally funded projects in the domains of fluid mechanics, aerodynamics, heat transfer and thermodynamics. This projects include large European or Regional projects as well as smaller industrial contracts. He is interested in theoretical, numerical and experimental activities. Among other projects, he has been working on aircraft wakes (with Prof. Winckelmans), wind turbine aerodynamics (Prof Chatelain and Prof Winckelmans), the experimental characterisation of a scaled water turbine (with Prof H. Jeanmart), development of an airship demonstrator (Prof Chatelain and Prof Winckelmans), flashing two-phase choked flows (with Prof. Bartosiewicz) and turbulent heat transfer in liquid metal (with Prof. Bartosiewicz).
Maud Moens obtained her PhD from UCL in September 2018, where she developed a numerical tool for accurate and still efficient unsteady wind farm simulations. This was achieved by using Large Eddy Simulation on coarse meshes, combined with an Actuator Disk method for the wind turbine model. She is currently working with Pr. Philippe Chatelain on the WakeOpColl project. This project proposes to apply agent-based machine learning techniques to the control of aircraft and wind turbines. She will investigate such control strategies at a wind farm scale by using the high fidelity numerical tool she developed during her PhD.