Ab-initio quantum Monte Carlo study of ultracold atomic mixtures 

    Cikojević, Viktor (Date of defense: 2021-04-20)

    The properties of mixtures of Bose-Einstein condensates at T=0 have been investigated using quantum Monte Carlo (QMC) methods and Density Functional Theory (DFT) with the aim of understanding physics beyond the mean-field ...

    Causal inference and forescasting methods for climate data nalysis 

    Silini, Riccardo (Date of defense: 2022-07-05)

    To advance time series forecasting we need to progress on multiple fronts. In this thesis, we develop algorithms to identify causal relations which allow to identify the driving processes containing useful information for ...

    Computer modeling of the polarity and amoeboid motion of living cells 

    Moreno Ramos, Eduardo (Date of defense: 2022-05-30)

    Cell motility is important in many biological processes. Some examples relay in epidermal cells moving towards lesions during wound healing, neutrophils cells migrating towards sites of bacterial infection as part of the ...

    Computer simulation of an excess proton in aqueous systems 

    Tahat, Amani Naser (Date of defense: 2016-06-01)

    This thesis aims at studying the microscopic physical-chemical properties of an excess proton in aqueous systems. From bulk water environments to narrow hydrophobic channels constructed with a double-layered graphene slab, ...

    Contributions to high accuracy snapshot GNSS positioning 

    Liu, Xiao (Date of defense: 2022-11-10)

    (English) Snapshot positioning is the technique to determine the position of a Global Navigation Satellite System (GNSS) receiver using only a very brief interval of the received satellite signal. In recent years, this ...

    Correlations in spin-orbit coupled ultracold quantum gases 

    Sánchez Baena, Juan (Date of defense: 2020-12-14)

    The main goal of this thesis is the computation of ground state properties of quantum many-body systems under Spin Orbit coupling (SOC) interactions out of the ultradilute regime. We present two approaches to fulfill this ...

    Dynamics of cyclones and precipitation over the Middle East 

    Al-Nassar, Ali Raheem Tuaimah (Date of defense: 2018-09-25)

    Precipitation is one of the most important, and also difficult to predict, elements of climate. This difficulty is associated with the transport of moisture through weather fronts that change their pathway, shape and ...

    Dynamics of large-scale shoreline perturbations 

    Arriaga García, Jaime Alonso (Date of defense: 2018-07-30)

    Shorelines around the world are rarely smooth and they can present undulations and cuspate shapes. On the one hand, human actions can cause shoreline perturbations via beach nourishments, which in turn perturb the wave ...

    Evaluation of TH multi-scale coupling methods in BEPU analysis 

    Casamor Vidal, Max (Date of defense: 2022-10-11)

    The combined use of thermal-hydraulics system with sub-channel codes (TH-TH coupling) in transient analysis provides an integrated tool with the capability of modelling in detail both the core thermal-hydraulic conditions ...

    A high-performace computing tool for partitioned multi-physics applications 

    Zavala-Aké, J. Miguel (Date of defense: 2018-09-13)

    The simulation and modelling of complex applications involving the interaction of processes governed by different physical principles is addressed in this thesis. The interaction of a fluid with a deformable body, or the ...

    ISFAA : Implicit SPH for astrophysical apllications 

    Escartín Vigo, José Antonio (Date of defense: 2016-01-21)

    Computational simulation is one of the basic techniques of modern Astrophysics. The long-term time astrophysical processes cannot be treated with explicit approaches because that they are limited, in their maximum time ...

    Machine learning for aircraft trajectory prediction: a solution for pre-tactical air traffic flow management 

    Mateos Villar, Manuel (Date of defense: 2022-11-08)

    (English) The goal of air traffic flow and capacity management (ATFCM) is to ensure that airport and airspace capacity meet traffic demand while optimising traffic flows to avoid exceeding the available capacity when it ...

    Machine learning methods for the characterization and classification of complex data 

    Amil Marletti, Pablo (Date of defense: 2020-02-11)

    This thesis work presents novel methods for the analysis and classification of medical images and, more generally, complex data. First, an unsupervised machine learning method is proposed to order anterior chamber OCT ...

    Mathematical modelling to study infectious diseases: from understanding to prediction 

    Català Sabaté, Martí (Date of defense: 2021-10-14)

    Each year 10 million people die from communicable diseases. They are infectious diseases caused by agents transmitted between individuals. Nowadays, the two infectious diseases that have the greatest impact are tuberculosis ...

    Multiapproach computational modelling of tuberculosis : understanding its epidemiological dynamics for improving its control in Nigeria 

    Ahmad, Nura Mohammad Rabiu (Date of defense: 2020-07-20)

    Tuberculosis (TB) is an infectious disease that is considered to be the biggest killer of mankind in the history of infectious diseases. There are still more than 10 million new TB cases every year and it causes more than ...

    Neuronal encoding and transmission of weak periodic signals 

    Masoliver Vila, Maria (Date of defense: 2020-02-20)

    Sensory neurons use sequences of electrical pulses (known as action potentials or spikes) to encode and transmit information of external temporal stimuli. Neural coding is the research field that studies the relationship ...

    Optimization on industrial problems focussing on multi-player strategies 

    Coma Company, Martí (Date of defense: 2022-07-26)

    Algorithms (EA) are useful optimization methods for exploration of the search space, but they usually have slowness problems to exploit and converge to the minimum with accuracy. On the other hand, gradient based methods ...

    Quantum Monte Carlo study of few-and many-body bose systems in one and two dimensions 

    Guijarro Gamez, Grecia (Date of defense: 2020-12-21)

    In this Thesis, we report a detailed study of the ground-state properties of a set of quantum few- and many-body systems by using Quantum Monte Carlo methods. First, we introduced the Variational Monte Carlo and Diffusion ...

    Ubiquitous supercomputing : design and development of enabling technologies for multi-robot systems rethinking supercomputing 

    Camargo Forero, Leonardo (Date of defense: 2019-10-25)

    Supercomputing, also known as High Performance Computing (HPC), is almost everywhere (ubiquitous), from the small widget in your phone telling you that today will be a sunny day, up to the next great contribution to the ...

    World-wide analysis and modelling of the ionospheric and plasmaspheric electron contents by means of radio occultations 

    Shao, Yixie (Date of defense: 2019-02-25)

    The research of this dissertation is studying the ionosphere by GPS radio occultation (RO) techniques. It is mainly divided into two parts. The first part focuses on the methodology in electron density profile retrievals ...