Guest Researcher
Wilson Fernandes is a Full Professor in the Department of Hydraulic and Water Resources Engineering at the School of Engineering of the Universidade Federal de Minas Gerais (UFMG), Brazil. His research focuses on statistical hydrology, hydrological extremes, and uncertainty analysis, combining approaches from hydrology, probability theory, and environmental data science.
Dr. Fernandes has developed a consistent research agenda on probabilistic modeling of hydrological processes, with particular emphasis on flood frequency analysis, stochastic precipitation modeling, rainfall–runoff relationships, hydrological regionalization, and the quantification of uncertainties in hydrological predictions. His work seeks to improve the statistical characterization and prediction of extreme hydrological events, which is essential for flood risk management, hydraulic infrastructure design, and climate adaptation strategies.
During his stay at IRI THESys Prof. Wilson is developing a computational framework that integrates artificial intelligence and statistical hydrology to support the selection and evaluation of probabilistic models capable of describing the statistical behavior of extreme hydrological events, particularly extreme precipitation and annual maximum river discharges. This research aims to advance methodological tools for data-driven hydrological inference and improved risk assessment under climate variability and environmental change.
Research Interests
- Hydrological Extremes and Flood Risk Analysis
- Probabilistic Modeling of Hydrological and Hydroclimatic Processes
- Artificial Intelligence and Machine Learning in Hydrology
- Hydroclimatology and Climate Variability Impacts on Water Resources
- Data-Driven Methods for Environmental and Water Systems
Selected Publications
https://lattes.cnpq.br/2532451941529446
Social Media
https://www.researchgate.net/profile/Wilson-Fernandes
