معرفی
Anders Karlsson is an Associate Professor at the University of Geneva since 2010 and holds a concurrent professorship at Uppsala University since 2013. His academic journey began with engineering physics studies at KTH, followed by a mathematics PhD from Yale University in 2000, with subsequent positions at ETH Zurich, Neuchâtel, Bielefeld, Yale, and KTH.
His research spans multiple mathematical domains with significant interdisciplinary applications:
- Ergodic theory and random walks
- Metric geometry and group actions
- Spectral invariants
- Deep learning and neural networks
Karlsson's theoretical work focuses on noncommuting random products and metric functional analysis, applied to random walks on groups, operator theory, complex variables, stochastic game theory, and machine learning. He also investigates connections between zeta functions of graphs, spaces, and numbers using heat kernel analysis.
He leads the Algebra and Geometry research group, mentoring PhD students Kamila Kashaeva and Dylan Mueller, and supervising postdoctoral researcher Tsviqa Lakrec. His teaching portfolio includes various mathematics courses documented in the university database, reflecting his expertise across theoretical and applied mathematics domains.
