معرفی
Anna Gusakova is a Junior Professor at the Institute for Mathematical Stochastics, University of Münster, Germany. Her research lies at the intersection of stochastic geometry, probability theory, and high-dimensional analysis, with a focus on random polytopes, tessellations, and concentration phenomena.
Education: She completed her Ph.D. under the supervision of Prof. Dr. Friedrich Götze, with a thesis titled Application of Probability Methods in Number Theory and Integral Geometry.
Research Interests: Her work spans a broad range of topics including:
- Stochastic geometry of random polytopes and tessellations
- High-dimensional probability and concentration inequalities
- Poisson processes and their geometric applications
- Convex and integral geometry
- Number-theoretic aspects of random structures
Publications Overview: Her recent publications demonstrate a deep engagement with theoretical foundations and asymptotic analysis in stochastic geometry. Notable contributions include studies on the β-Delaunay tessellation, spherical convex hulls, and concentration inequalities for Poisson functionals. These works often involve advanced tools from integral geometry, functional analysis, and probabilistic limit theory.
Teaching and Mentorship: She teaches a variety of courses including master's seminars on stochastic geometry, probability theory, and high-dimensional probability. Her teaching emphasizes both theoretical depth and practical applications in modern probability and geometry.
Collaborations and Grants: While specific grant details are not provided, her extensive collaboration network includes researchers like Christoph Thäle, Zakhar Kabluchko, and Florian Besau, indicating active participation in international research projects.
Laboratory and Team: She is associated with the working group in Mathematical Stochastics at the University of Münster, contributing to a vibrant research environment in probability and geometry.
