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Bilbao Dirac Eguna 2026 takes place at BCAM

On January 14th, the University of the Basque Country (EHU) and he Basque Centre for Applied Mathematics (BCAM) hosted Bilbao Dirac Eguna 2026, a one-day scientific meeting dedicated to the Dirac equation. The event took place in the Maryam Mirzakhani Seminar Room at BCAM in Bilbao and brought…

BCAM people

Ainhize Barrainkua will defend his thesis on Friday, January 30th

  • The defence will take place at Ada Lovelace Aretoa, Faculty of Informatics (

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BCAM joins Emakumeak Zientzian 2026 to highlight women’s talent in science

  • BCAM is part once again of the Emakumeak Zientzian initiative, a collective project aimed at highlighting the role

BCAM people

BCAM’s Postdoctoral Fellow Verónica Álvarez Castro receives a Special Mention at the Enrique Fuentes Quintana Doctoral Thesis Awards

  • The award is granted by Funcas, for her doctoral thesis entitled Supervised Learning in Time-dependent Environments with Pe

Latest publications

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An optimal fractional Hardy inequality on the discrete half-line

Das, U.; de la Fuente-Fernández, R. (2026-01-12)

In the context of Hardy inequalities for the fractional Laplacian $(-\Delta_{\mathbb{N}})^{\sigma}$ on the discrete half-line $\mathbb{N}$, we provide an optimal Hardy-weight $W^{\mathrm{op}}_{\sigma}$ for exponents $\sigma\...

A Novel Multi-Resolution Heart Rate Variability Analysis for IoT-based Drowsiness Detection: Preserving Temporal Trends in Features Series

Hafidi, H.E.; De Giovanni, E.; Montanaro, T.; Sergi, I.; De Vittorio, M.; Patrono, L. (2025-07-30)

Heart rate variability (HRV) analysis provides valuable insights into autonomic nervous system regulation and serves as an effective indicator for drowsiness detection in transportation safety applications. This study presen...

Human-Centered and Context-Aware Smart ML-based IoT Framework for Online Fatigue Detection: a Real-World Study of Football Training

Mamen, A.; De Giovanni, E.; Montanaro, T.; Sergi, I.; Patrono, L. (2025-12-08)

Fatigue is one of the factors that most influences competitive athletes’ performance, leading to injuries and overtraining. To effectively monitor and predict fatigue levels during real-world training, it is necessary to int...

Variational Autoencoder-Based Alert System for Onshore Wind Turbine: Application to a Real Case Study

Zamora-Sánchez, D.; Fernandez-Navamuel, A.; Pardo, D.; Magalhães, F.; Pereira, S. (2025-10-01)

Structural Health Monitoring (SHM) of wind turbines is still far from a practical and effective implementation. One of the main limitations is the access to long-term experimental data from operative systems, as well as the ...