Martin David

Martin David is an Associate Professor at the University of Perpignan Via Domitia in the LAMPS - Multidisciplinary Modeling and Simulation Laboratory. He holds a PhD in Thermal Engineering from the same university (2021), focusing on gas-pressurized solar receiver flows. As a Postdoctoral Researcher at Inria Bordeaux (2022-2024), he developed self-adaptive hybrid RANS/LES strategies based on physical criteria.

Research interests include Computational Fluid Dynamics, Turbulence Modeling, Heat Transfer, Conjugate Heat Transfer, Uncertainty Quantification, and Multi-fidelity Approaches. His work bridges academic innovation and industrial applications, particularly in renewable energy systems and certified CFD development.

His 15 most recent publications (2020-2024) demonstrate expertise in hybrid nanofluids, LES/DNS of solar receivers, self-adaptive algorithms, and machine learning integration for turbulence modeling. Key themes include thermal dissipation discontinuities, user-independent CFD, and multi-phase flow modeling.

Scientific awards include:

• 26 million computational hours on DARI/PRACE projects
• Selection in GENCI annual report (2022)

He supervises PhD students in topics ranging from high-performance computing to artificial intelligence in turbulence modeling. His teaching portfolio covers 560+ hours across CFD, Thermodynamics, Fluid Mechanics, and Renewable Energies at L1-M2 levels.