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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

The Quantum Mechanics group is strongly based on J.-B. Bru and W. de Siqueira Pedra’s mathematical works on quantum many-body theory, which is an important domain of mathematical physics. It mainly refers to rigorously understand the close connection between microscopic, mesoscopic and macroscopic properties of quantum systems. In mathematics, it is reminiscent of Hilbert's sixth problem, among his 23 problems which have been authoritative for the twentieth century mathematics.

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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. 

Latest news

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BCAM people

Lorenzo Nagar will defend his thesis on Thursday, June 19th

The defence will take place at Salón de Grados of the Faculty of Science and Technology  (UPV/EHU - Leioa) Lorenzo Nagar is  PhD Student at BCAM since January 2021 (former Research Technician 07/01/20 - 31/12/20) in the group "Modelling and Simulation in Life and Material Sciences". He obtained…

Events

ESGI 188: Collaborative Innovation Between Industry and Mathematics in Bilbao

The 188th European Study Group with Industry (ESGI 188), held from 26 to 30 May at the B Accelerator Tower (BAT) in Bilbao, brought together industrial challenges and mathematical expertise in a dy

BCAM people

Jose Segovia defended his thesis on Monday, May 26th

The defence will take place at Ada Lovelace Room at the Faculty of Informatics of the Donostia UPV/EHU Campus <

BCAM people

BCAM’S Postdoc Fellow Carlos Uriarte’s Doctoral Thesis, triple awarded

  • The researcher’s thesis, titled “Solving Partial Differential Equations using Artificial Neural Networks”, has been selected as the best for the ECCOMAS awar

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