معرفی
Dr. Tuan Anh Nguyen is a researcher at the Faculty of Mathematics of Universität Bielefeld, Germany. He is affiliated with the Collaborative Research Centre (SFB) 1283, specifically sub-project B10, which focuses on high-dimensional Markov processes in cones. His research interests include stochastic analysis, numerical methods for partial differential equations (PDEs), and overcoming the curse of dimensionality through advanced techniques like multilevel Picard approximations and deep neural networks.
Dr. Nguyen's work bridges theoretical mathematics and applied computational methods, addressing challenges in stochastic control, mean-field systems, and high-dimensional stochastic differential equations (SDEs). His contributions to numerical analysis emphasize scalable algorithms for semilinear PDEs and backward SDEs, leveraging machine learning frameworks to tackle dimensionality constraints.
He collaborates on interdisciplinary projects within the university's strategic research area of the Mathematical World, focusing on stochastic processes, mathematical finance, and real-world system modeling. His research has been recognized through affiliations with leading projects like SFB 1283 and contributions to top-tier journals in computational mathematics.
