Research Associates
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. They are contributions to the IEA (International Energy Agency) Implementing Agreement for Energy Conservation and Emission Reduction in Combustion.
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).
Postdoctoral fellows
Estenban Hufstedler obtained his PhD in aeronautics from Caltech in 2017, where he experimentally studied unsteady aerodynamics and vortex-wing interaction. He is currently working with Prof. Chatelain to apply agent-based machine learning techniques to the control of aircraft and wind turbines. This includes both the creation of simplified models of fluid flows and the implementation of machine learning algorithms.