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The BCAM Severo Ochoa Strategic Lab on Quantum Mathematics launches with two-day meeting in Bilbao
On 5th and 6th March 2026, the Basque Center for Applied Mathematics (BCAM) hosted a scientific meeting to celebrate the launch of the new "BCAM Severo Ochoa Strategic Lab on Quantum Mathematics". The lab, which officially started its activity in September 2025, is led by researchers Niels…
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BCAM Receives Two Awards at the SEIO – BBVA Foundation Awards 2025 Ceremony
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Yesterday, February 26, BCAM received two awards recognizing the pioneering nature of its research in two key areas: Best Methodological Contribution in Operations Research; and B
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Granada hosted the 17th edition of a well-established international scientific conference founded in 2010,
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The renewal reaffirms both institutions’ commitment to fostering the exchange of undergraduate, graduate, and junior/senior researchers, developing joint research and educational
Latest publications
View allAn 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 ...