Rodolfo Antonio Rios Zertuche

Rodolfo Antonio Rios Zertuche is a Research Fellow in the Department of Mathematics and Statistics at UiT The Arctic University of Norway, actively contributing to the research groups Applied and Computational Algebra and MASCOT. His work bridges theoretical mathematics with computational applications across optimization and stochastic systems.

His research focuses on Mathematical Optimization, Stochastic Processes, and Dynamical Systems, with significant contributions to variational problem relaxations, sums-of-squares hierarchies, and subgradient method dynamics. Recent investigations examine convexity in measure-theoretic frameworks and convergence properties in polynomial optimization.

Publications from 2022-2024 reveal a concentrated trend toward optimization theory, particularly in occupation measure relaxations, correlative sparsity convergence rates, and stochastic approximation techniques. These works demonstrate increasing sophistication in handling nonsmooth functions and probabilistic frameworks through measure-theoretic approaches.

Rios Zertuche maintains strong international collaborations with researchers from institutions including LAAS-CNRS (Toulouse) and Czech Technical University, evidenced by co-authorships with Didier Henrion and Milan Korda. His involvement in the MASCOT research group supports interdisciplinary projects connecting algebraic methods with computational mathematics.