Rate My Professor Stefan Vandewalle
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Encourages students to think creatively.
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About Stefan
Stefan Vandewalle is a full professor in the Faculty of Engineering Science at KU Leuven, serving as Chair of the Department of Computer Science. He is affiliated with the Numerical Analysis and Applied Mathematics (NUMA) research unit in the Department of Computer Science. His academic career at KU Leuven includes leadership roles such as department chair and membership in the Subdivision Computational Mathematics and the iSi Health - KU Leuven Institute of Physics-based Modeling for In Silico Health. Vandewalle's research specializes in computational mathematics and numerical analysis, with key interests in parallel-in-time methods like Parareal and micro-macro Parareal for multiscale ordinary and stochastic differential equations, multirate time integration for aeroelastic simulations of wind turbines using the actuator line model, four-dimensional variational data assimilation in the atmospheric boundary layer via large eddy simulation, Monte Carlo methods for kinetic equations in plasma simulations, uncertainty quantification in PDE-constrained optimization, and pore network simulations of porous building materials.
Vandewalle has supervised numerous PhD theses, including those on multirate aeroelastic simulations (Konstantina Ntrelia, 2026), micro-macro Parareal methods for multiscale equations (Ignace Bossuyt, 2025), four-dimensional variational data assimilation (Ahmed Alreweny, 2024), efficient pore network simulation (Homam Khatirzad Baboli, 2024), and multilevel Monte Carlo for kinetic equations (Emil Løvbak). His influential publications encompass 'Analysis of the parareal time-parallel time-integration method' (SIAM Journal on Scientific Computing, 2007), 'On the evaluation of highly oscillatory integrals by analytic continuation' (SIAM Journal on Numerical Analysis, 2006), 'Weakly constrained 4D-Var reconstruction of turbulence in the atmospheric boundary layer using large eddy simulation' (Journal of Computational Physics, 2026), 'Multirate time stepping for aeroelastic simulations of wind turbines using the actuator line model' (Computers & Fluids, 2025), 'Monte Carlo--Moments Micro-Macro Parareal Method for Unimodal and Bimodal Scalar McKean--Vlasov SDEs' (SIAM Journal on Scientific Computing, 2025), and 'Large-eddy simulation-based reconstruction of turbulence in a neutral boundary layer using spectral-tensor regularization' (Journal of Fluid Mechanics, 2024). He teaches courses such as Numerical Analysis and Applied Mathematics, Analysis parts 1 and 2, and Computational Problem-Solving. His contributions advance scientific computing applications in engineering, fluid dynamics, and materials science.
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