Events
View allLatest news
View allAbout the center
BCAM welcomes more than 150 students as part of Emakumeak Zientzian
Students from Berriotxoa, Zalla BHI and Zunzunegi BHI visited the center to take part in various outreach activities, as well as in the European project ORE4CITIZENS. In addition to the activities held at BCAM, researchers from the center also participated in other Emakumeak Zientzian…
BCAM people
- Coello is an Ikerbasque Research Professor at BCAM (Group Leader, Combinational Optimization)
- The panel will be composed of 40 members with a three-year ter
Events
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 meetin
BCAM people
Ainhize Barrainkua will defend his thesis on Friday, January 30th
- The defence will take place at Ada Lovelace Aretoa, Faculty of Informatics (
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 ...