Georg Loho

Georg Loho is an Assistant Professor in the department of Mathematics of Operations Research. His research focuses on the intersection of combinatorics, optimization, and geometry, with a particular emphasis on oriented matroids, tropical geometry, and algorithmic game theory. He explores applications in machine learning, neural network architecture, and stochastic games.

Key research themes include the study of matroid theory, convex analysis, and the development of algorithms for optimization problems. His work bridges theoretical mathematics with practical applications in computational fields, such as analyzing the complexity of neural networks and solving problems in mean payoff games.

Recent contributions include advancements in tropical geometry applied to neural networks and the reduction of stochastic games to semidefinite programming. He actively collaborates on interdisciplinary projects, as evidenced by his talks and publications in top-tier journals such as Selecta Mathematica and TheoretiCS.

His research outputs span topics like polymatroids, lattice polytopes, and combinatorial optimization, reflecting a commitment to both foundational theory and computational methods.