I'm Xurxo Rigueira
a CS Ph.D. Candidate
at UVigo.

CV

About Me

I am a Computer Science Ph.D. candidate at the University of Vigo, where I am advised by María Araújo and David Olivieri. I have also had the privilege of being advised by Tianfang Xu at Arizona State University, where I completed two doctoral research stays with the Groundwater Sustainability and Data Sciences research group. Prior to that, I completed my undergraduate and graduate studies at the University of Vigo and California State University, East Bay, majoring in Mining and Energy Resources Engineering.

So far, my reseach has focused on water resources modeling with machine learning and statistical models. In particular, I have worked on the development of explainable machine learning models for anomaly detection and forecasting in water quality and hydrological time series, as well as the proposal of functional data analysis methods robust to unknown data distributions and outliers for environmental applications. In a prospective postdoc, I aim to combine my expertise in water resources modeling with my interest in climate and weather science to tackle the challenges of hydroclimate modeling and forecasting. I collaborate with researchers across computer science, natural resources engineering, and climate science.

Research Areas

  • Water Resources Modeling
  • Hydroclimate Forecasting

Education

  • University of Vigo Ph.D. in Computer Science
  • University of Vigo M.S. in Mining Engineering
  • University of Vigo B.S. in Mining and Energy Engineering

Recent News

Selected Works

Introducing AutoML and the noisy-average probabilistic independence of causal influence (PICI) model for the prediction of ornamental stone quality Maria Pazo, Xurxo Rigueira, Saki Gerassis, David Olivieri, Angeles Saavedra, Isabel Margarida Antunes Engineering Geology 2025
Multivariate functional data analysis and machine learning methods for anomaly detection in water quality sensor data Xurxo Rigueira, David Olivieri, Maria Araujo, Angeles Saavedra, Maria Pazo Environmental Modelling & Software 2025
Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review Miguel Martinez, Xurxo Rigueira, Ana Larrañaga, Javier Martinez, Iago Ocarranza, Denis Kreibel Revista de Psicodidáctica 2023
Bayesian Machine Learning and Functional Data Analysis as a Two-Fold Approach for the Study of Acid Mine Drainage Events Xurxo Rigueira, Maria Pazo, Maria Araujo, Saki Gerassis, Elvira Bocos Water 2022