Jose I. Aizpurua
Scholar

Jose I. Aizpurua

Google Scholar ID: -erYYLEAAAAJ
Ramon y Cajal Research Fellow, University of the Basque Country (UPV/EHU)
Prognostics & Health ManagementUncertainty QuantificationMachine LearningForecasting
Citations & Impact
All-time
Citations
1,114
 
H-index
19
 
i10-index
30
 
Publications
20
 
Co-authors
41
list available
Resume (English only)
Academic Achievements
  • October 2025: Delivered an invited tutorial at the 8th IEEE Advanced Research Workshop on Transformers
  • April 2025: Published in Computer-Aided Civil and Infrastructure Engineering
  • March 2025: Published in Engineering Applications of Artificial Intelligence and IEEE Transactions on Instrumentation and Measurement
  • February 2025: PhD student Manu Centeno successfully defended his thesis; another paper published in Engineering Applications of Artificial Intelligence
  • December 2024: Published in International Journal of Prognostics and Health Management Society, Renewable Energy, and presented a paper at a NeurIPS workshop on Bayesian decision-making and uncertainty
  • November 2024 and October 2024: Published in Engineering Applications of Artificial Intelligence and Sustainable Energy, Grids and Networks respectively
  • September 2024: Published in Applied Energy
Background
  • Ramón y Cajal Research Fellow at the University of the Basque Country (UPV/EHU), Department of Computer Science and Artificial Intelligence
  • Member of the Intelligent Systems Group
  • Focuses on translating industrial engineering problems into machine learning and dependability (reliability, availability, maintainability, safety) solutions
  • Develops condition monitoring and Prognostics & Health Management (PHM) applications for reliable and intelligent power and energy systems
  • Has a special interest in renewables and smart grids, aiming to contribute to combating climate change and building dependable, sustainable energy systems