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BCAM people, Women in Science

Cristina Galán will defend her thesis on Thursday, July 24th

The defence will take place at Salón de grados Faculty of Science and Technology of the EHU Leioa Campus at 11:00 Cristina Galán has been a PhD student at Basque Center for Applied Mathematics (BCAM) since September 2021, working within the Applied Statistics group. Her research is focused on…

Events

BCAM hosts successful edition of the Symposium on Geometry Processing 2025

  • The 2025 edition of the Symposium on Geometry Processing (SGP) took place from July 2–4 in Bizkaia Aretoa and brought together more than 100 participants from around

BCAM people

José Antonio Lozano, BCAM's Scientific Director, Receives the 2024 Euskadi Research Award for Contributions to Artificial Intelligence and Data Science

  • José Antonio Lozano, BCAM Scientific Director and Professor of Computer Science and Artificial Intelligence at the University of the Basque Country (EHU), was awarded the pres

BCAM people

Mikel Florez will defend his thesis on Monday, July 7th

The defence will take place at Sala Adela Room at the Faculty of Science and Technology of Leioa EHU Campus at 11:00 h

Latest publications

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Bourgain’s Counterexample in the Sequential Convergence Problem for the Schrödinger Equation

Cho, C.H.; Eceizabarrena, D. (2025-05-08)

We study the problem of pointwise convergence for the Schrödinger operator on $\mathbb R^n$ along time sequences. We show that the sharp counterexample to the sequential Schrödinger maximal estimate given recently by Li, Wan...

A Unified View of Double-Weighting for Marginal Distribution Shift

Segovia, J.I; Mazuelas, S.; Liu, A. (2025-03-01)

Supervised classification traditionally assumes that training and testing samples are drawn from the same underlying distribution. However, practical scenarios are often affected by distribution shifts, such as covariate and...

Collocation-based robust variational physics-informed neural networks (CRVPINNs)

Paszyński, Maciej; Los, M.; Służalec, T.; Maczuga, P.; Vilkha, A.; Uriarte, C. (2025-09-01)

Physics-informed neural networks (PINNs) have been widely used to solve partial differential equations (PDEs) through strong residual minimization formulations. Their extension to weak scenarios via Variational PINNs (VPINNs...

Concave Grain Boundaries Stabilized by Boron Segregation for Efficient and Durable Oxygen Reduction

Geng, X.; Vega-Paredes, M.; Lu, X.; Chakraborty, P.; Li, Y.; Scheu, C.; Wang, Z.; Gault, B. (2024-09-17)

The oxygen reduction reaction (ORR) is a critical process that limits the efficiency of fuel cells and metal-air batteries due to its slow kinetics, even when catalyzed by platinum (Pt). To reduce Pt usage, enhancing both th...