ANA NAVARRO QUILES

Ana Navarro Quiles is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, University of Valencia, Spain. She is a member of the PROMEDyA research group, focusing on prediction and optimization under uncertainty using dynamic stochastic models.

• PhD: Universitat Politècnica de València, 2018
• Thesis: Computational Methods for Random Differential Equations: Theory and Applications
• Supervisors: Dr. Juan Carlos Cortés López, Dr. Rafael Villanueva Micó, Dr. María Dolores Roselló Ferragud

Her research centers on probabilistic solutions of random differential equations, uncertainty quantification in biological and epidemiological models, and stochastic control systems. She employs advanced techniques such as the Random Variable Transformation (RVT) method and Karhunen-Loève expansion to analyze systems with random parameters. Her work bridges theoretical mathematics with real-world applications in public health, chemistry, and engineering. She has published extensively in journals like Journal of Computational and Applied Mathematics and Chaos, Solitons & Fractals.

The recent publications reveal a strong trend toward modeling complex dynamical systems under full parametric uncertainty, particularly in biological growth (Gompertz, logistic) and disease spread (SIR-type models). Her methodological focus lies in deriving complete probabilistic solutions using transformation techniques and functional expansions, moving beyond mean-value approximations to capture full distributional behavior.

No scientific awards are mentioned in the provided texts.

Ana Navarro Quiles collaborates extensively with researchers from the Universitat Politècnica de València and other institutions. While no specific grants are listed, her sustained output suggests active funding support. She has not been explicitly mentioned as an advisor to students in the provided material, but her role in a PhD thesis as a supervisor's co-supervisee indicates strong mentoring experience.

She is affiliated with the PROMEDyA research group (Prediction and Optimization under uncertainty: dynamic stochastic models and applications), which conducts interdisciplinary research on modeling uncertain dynamical systems with applications in science and engineering.