Amin Faghih

Amin Faghih is a postdoctoral scholarship holder at KU Leuven's Numerical Analysis and Applied Mathematics (NUMA) research unit within the Arenberg campus. His academic work focuses on advanced computational mathematics with emphasis on numerical methods for differential equations and approximation theory.

His research interests span Numerical Analysis, Approximation Theory, and Linear Algebra, particularly investigating Sobolev spaces, orthogonal polynomials, and fractional differential equations. His recent work develops novel algorithms for rational approximation and spectral solvers, bridging theoretical mathematics with practical computational implementations.

Analysis of his 2024-2025 publications reveals a strong trend toward efficient numerical methods for Sobolev-related problems, with increasing focus on rational Arnoldi approaches and orthogonal polynomial recurrences. His work demonstrates interdisciplinary connections between computational mathematics, linear algebra, and differential equations.

Faghih actively contributes to the academic community through seminar presentations at institutions including UC Louvain, KU Leuven, and international conferences such as the International Linear Algebra Society meetings. His research presentations cover specialized topics in numerical linear algebra and approximation theory.

Based at Celestijnenlaan 200a (box 2402) in Leuven, he operates within KU Leuven's NUMA research environment, collaborating with prominent researchers including Van Barel, Vandebril, and Van Buggenhout on cutting-edge numerical algorithms.