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MTB

With a highly interdisciplinary team, our research addresses significant mathematical problems and fundamental questions in medicine and biology.

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CFDMS

In the CFD-MS group we develop novel multiscale models and high-performance simulation algorithms to describe the dynamics of simple and complex fluids from microfluidics up to macroscopic flow conditions.

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CO

Combinatorial optimization problems are ubiquitous in the real-world. Routing, scheduling, location, or cutting/packing, are examples of common problems in this area. Most of these problems are characterized for having a complexity that makes it impossible to solve high-dimensional instances to optimality, and here is where metaheuristics algorithms come to play. Metaheuristic algorithms are a set of techniques and algorithms that, although in most of occasions do not guarantee to find the global optimal solutions, they provide high-quality solutions in affordable computation times.

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WAVE

What these three topics have in common is that they will be studied making a modern use of classical techniques of Harmonic Analysis, such as: Oscillatory Integrals and Gauss Sums to describe the dynamics of vortex filaments, Singular Integral Operators like the Cauchy Integral to study shell interactions for Dirac equations and confinement, and Carleman estimates to obtain lower bounds that eventually lead to prove new uncertainty principles. More concretely,

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QM

Since its origins in the 1920s, Quantum Mechanics has remained one of the most vibrant and intellectually rich areas of research in both Physics and Mathematics. However, since the early 2000s, and with a significant acceleration in recent years, we have witnessed a turning point with the rise of what is now called the second quantum revolution, or Quantum 2.0.

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MATHDES

Principal Investigators:
Michael Barton and David Pardo

Our research spans areas of Deep Learning, Inverse Problems, Finite Elements, Massive Computations, Numerical Analysis, Geometric Modeling, Computer Aided Design, and Modeling of Manufacturing Processes. We work in close interaction with industrial partners and institutions to promote transfer of knowledge and obtain feedback from real-life applications.

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MSLMS

MSLMS activities include the development of efficient numerical methods and algorithms, computational models, software and computational kits for simulations of complex systems, with an ultimate goal of applying them to real life problems. Multidisciplinary research and multitasking are two of the defining features of the MSLMS group.

OverviewMSLMS

 

SCHENK, Cristina

Christina works on Predictive Metabolic Modeling of Microbiomes and Human Metabolism Through Monte Carlo Sampling within BCAM’s group on Modeling and Simulation in Life and Material Sciences. 

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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 prestigious 2024 Euskadi Research Award for his contributions to Science and Technology by the Lehendakari Imanol Pradales and…

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

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BCAM successfully concluded the second edition of the 'Villa de Bilbao' Piano and Violin Competition with the awards ceremony for its winners

  • The competition took place last weekend at the Bilbaina Society as part of Bilbomath, a collaboration between the Bilbao City Council and BCAM aimed at promoting inte

About the center

Summer School on Post-Quantum Cryptography: Bridging the Future of Cybersecurity

  • An intensive course hosted by BCAM introduced students and researchers to the forefront of post-quantum cryptography — from lattice-based systems to hash-based signatures — preparing t

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