Rate My Professor Martijn Anthonissen

Anthonissen's career encompasses advancements in scientific computing and numerical methods applied to diverse fields, including combustion, glass sintering, tracer transport in anisotropic turbulence, film cooling, laser surface remelting, wafer positioning, lens deformation, cathodic protection for ships, and wind-farm aerodynamics. His current research specializes in computational illumination optics, developing inverse design methods based on advanced physical models to engineer optical systems—such as freeform lenses and reflectors—that transform light from sources like LEDs into prescribed outputs for applications in road lighting and automotive headlights. These approaches facilitate virtual prototyping via simulation tools. He has undertaken extended research visits to Yale University, Weierstrass Institute for Applied Analysis and Stochastics in Berlin, Japan Women’s University, National Institute of Technology Karnataka, and Università degli Studi di Perugia. Anthonissen teaches mathematics courses, contributes to the Eindhoven School of Education, and manages educational aspects of the graduate program in Industrial and Applied Mathematics. Key recent publications include "Design of a three-dimensional parallel-to-point imaging system using inverse methods" (2026, Journal of the Optical Society of America A), "Inverse design method for generalized zero-étendue sources and two targets" (2026, Journal of the Optical Society of America A), "Neural network methods for two-dimensional finite-source reflector design" (2026), and "A neural network approach for solving the Monge–Ampère equation with transport boundary condition" (2025, Journal of Computational Mathematics and Data Science).