Rate My Professor Martijn Anthonissen

Martijn J.H. Anthonissen is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology, affiliated with the Computational Illumination Optics group in the Intelligent Lighting Institute. He studied mathematics at Eindhoven University of Technology, graduating from his master’s program before participating in the Japan Prizewinners Program, a one-year postgraduate course organized by the Dutch Ministry of Education. This program included seven months working at Hitachi Group Headquarters in Tokyo. From 1997 to 2000, he pursued his PhD in the Scientific Computing Group at Eindhoven University of Technology, focusing on numerical simulations of laminar flames using local defect correction techniques.

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).