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Florian Bociort is an Assistant Professor at the Optics Research Group , Delft University of Technology (Faculty of Applied Sciences). He holds a PhD in Physics from TU Berlin (1994) and has dedicated his career to optical system design, gradient-index optics, and computational methods in lens design. Research Interests Bociort’s research focuses on design landscapes of optical systems , where he pioneered the use of saddle points to escape local minima in optimization. His work spans Gradient-index optics (conversion of homogeneous lenses to GRIN media) Artificial intelligence in lens design Optics education (simulation-driven learning) Academic Contributions He has supervised multiple PhD theses on topics like: A. M. Boyd (2025): Generalized gradient-index lens optimization Z. Hou (2023): Systematic lens design searches Y. Shao (2021): Imaging coherence and optimization M. Strauch (2020): Tunable optics M. Mout (2019): Ray-based diffraction simulation Recent Publications His 2025-2018 publications show a trajectory from classical optical design to modern computational approaches, including simulation-driven education, gradient-index conversions, and high-NA diffraction modeling. The 2024 paraxial reconstruction and 2025 simulation-education articles exemplify this evolution. Patents & Expertise He co-invented two ASML-related patents in lithographic design and served as expert witness in the 2018 ASML-Nikon patent lawsuit. His personal webpage details his networks of local minima and fractal basins in optimization.

• Optical System Design
• Gradient-Index Optics
• Artificial Intelligence in Lens Design
• +3 more

Martijn Anthonissen is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He is a core member of the Computational Illumination Optics group, focusing on numerical methods for optical system design, freeform optics, and inverse problems in illumination engineering. His work combines advanced mathematical models with computational techniques to develop efficient optical systems for applications like LED lighting, automotive headlights, and laser technology. Education: Martijn earned his mathematics degree at TU/e and participated in the Japan Prizewinners Program, working at Hitachi in Tokyo. He completed his PhD on numerical combustion before transitioning to computational optics. He has held visiting positions at institutions worldwide, including Yale University and the Weierstrass Institute. Research: His research emphasizes solving Monge-Ampère equations and generated Jacobian equations to design freeform optical surfaces. Key areas include hyperbolic PDEs, Liouville's equation in geometrical optics, and Lie algebraic methods for aberration analysis. Collaborations with industry partners aim to translate theoretical advances into practical optical solutions. Teaching: He teaches courses in numerical linear algebra, mathematical modeling, and scientific computing, contributing to TU/e's teacher training programs. His educational materials, including YouTube videos on numerical methods, are widely used. Publications: Over 50 peer-reviewed articles since 2013, including high-impact work in Journal of the Optical Society of America , Journal of Computational Physics , and Optics Express . Current projects include neural network approaches for PDEs and optimization of gradient-index lenses. Labs/Teams: Leads the Computational Illumination Optics group, which has active PhD and industrial research programs. The group's interdisciplinary approach bridges mathematics, physics, and engineering.

• Computational Illumination Optics
• Numerical Mathematics
• Scientific Computing
• +5 more

Jan ten Thije Boonkkamp is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His research focuses on numerical analysis, computational fluid dynamics, and illumination optics. He leads groups within the Intelligent Lighting Institute and Computational Illumination Optics, developing mathematical models for optical systems and novel flux approximation schemes for conservation laws. Education: MSc in Applied Mathematics from University of Twente (1984), followed by roles at CWI Amsterdam and Philips Research. Joined TU/e in 1991 and served as Visiting Professor at IIT Kanpur (2015). Research Interests: Numerical methods for PDEs (finite volume methods, complete flux schemes), computational illumination optics (optimal transport for optical design), and fluid dynamics simulations. His work bridges analytical and numerical approaches to solve nonlinear PDEs in optics and engineering. Recent Publications (2025) emphasize freeform optical design, Navier-Stokes approximations, and gradient-index media aberration analysis. His methods combine optimal transport theory with iterative solvers for precision optical systems. Affiliations: Member of TU/e's Intelligent Lighting Institute and Computational Illumination Optics groups. Teaches advanced courses in PDEs, fluid dynamics, and scientific computing.

• Numerical Analysis
• Computational Fluid Dynamics
• Plasma Physics
• +6 more

Wilbert IJzerman is a Full Professor (Part-time) of Illumination Optics at Eindhoven University of Technology (TU/e), leading the Scientific Computing and Applications (CASA) group with Dr. Jan ten Thije Boonkkamp. He holds roles as Chair of Illumination Optics, Head of Lighting Technology at Signify Research, and Member of the European Optical Society's Industrial Advisory Committee. Education: MSc in Applied Physics (1995) and MSc in Applied Mathematics (1996) from University of Twente, PhD in Applied Mathematics (2000), and Executive MBA from Rotterdam School of Management (2011). Research focuses on inverse optical problems, numerical simulation of illumination systems, and freeform optical design. Innovations include a versatile mass transport algorithm and ultra-fast ray tracing methods. He co-leads projects like the TTW Perspective Program 'Free-Shape Scattering Optics' and holds over 50 US patents in lighting technology. His recent work emphasizes neural network solutions for optical equations and Lie algebraic analysis of gradient-index media. Advising PhD students on optical component characterization and scattering materials design, he bridges academic research with industrial applications through Holland High Tech and Optics Netherlands collaborations.

• Illumination Optics
• Inverse Optics
• Optical Simulation
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Martijn J.H. Anthonissen is an Assistant Professor in Computational Illumination Optics at Eindhoven University of Technology. His research develops inverse methods for optical system design using physical models of light interaction, with applications in LED lighting and optical prototyping. Research focuses on three tracks: 1) Freeform design using Monge-Ampère equations, 2) Improved direct methods like Liouville equation solvers as alternatives to ray tracing, and 3) Imaging optics via Lie algebraic methods for aberration analysis. Current projects include MALIOD (machine learning for optics design) and photolithography aberration compensation. He teaches mathematics courses including Calculus, Linear Algebra, and Numerical Methods. Academic background includes a PhD in numerical combustion from TU/e and research visits to Yale University, Weierstrass Institute, and Japanese institutions.

• Computational Optics
• Inverse Methods
• Monge-Ampère Equations
• +2 more

Jan H.M. ten Thije Boonkkamp is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Intelligent Lighting Institute and the Department of Mathematics and Computer Science. His work bridges mathematical theory and applied computational sciences. Academic Background: MSc in Applied Mathematics (University of Twente, 1984) Current Roles: Associate Professor, Project Manager for EU-funded initiatives Key Collaborations: IIT Kanpur (2015 Visiting Professor), Philips Research Laboratories His research focuses on numerical methods for partial differential equations (PDEs) with applications in computational illumination optics and conservation laws . He develops: Freeform optical systems using optimal transport theory Complete flux schemes for hyperbolic systems Nonlinear PDE models for refracting surfaces Least-squares solvers for complex geometrical optics Recent publications (2025) highlight his interdisciplinary contributions to: Novel optical design frameworks combining Hamiltonian theory and optimal transport Advanced flux approximation schemes for fluid dynamics Computational optics solutions for energy-efficient lighting He leads projects like: MALIOD (Machine Learning for Illumination Optics Design, 2021-2026) PhotoLitho (Aberration compensation, 2020-2027) Intelligent Lighting (3rd tier, 2020-2025) His work contributes to UN Sustainable Development Goals through energy-efficient optical technologies.

• Numerical Analysis
• Partial Differential Equations (PDEs)
• Finite Volume Methods
• +10 more