I am a researcher in the Earth and Environmental Sciences group at the Center for Scalable Data Analytics and Artificial Intelligence from Leipzig University. I am also associated with the Helmholtz Center for Environmental Research. My research integrates data science methods, including machine learning, optimization, and text mining, to water resources planning and management. My current work is focused on identifying the cascading impacts of natural hazards using text data.
Publications
(2024).
Unveiling water allocation dynamics: a text analysis of 25 years of stakeholder meetings.
Environmental Research Letters.
(2021).
Variational Mode Decomposition Hybridized With Gradient Boost Regression for Seasonal Forecast of Residential Water Demand.
Water Resources Management.
(2021).
A data-driven model to evaluate the medium-term effect of contingent pricing policies on residential water demand.
Environmental Challenges.
(2020).
Performance of rainwater tanks for runoff reduction under climate change scenarios: a case study in Brazil.
Urban Water Journal.
(2020).
Urban Water Demand Modeling Using Machine Learning Techniques: Case Study of Fortaleza, Brazil.
Journal of Water Resources Planning and Management.
