• Finite Element Simulations of Two-phase Flow and Floating Bodies Using FEniCS-HPC 

  Moragues M.; Castanon D.; Degirmeci N.C.; Jansson J.; Nava V.; Krishnasamy E.; Hoffman J. (13th World Congress in Computational Mechanics WCCM, New York, USA, 2018-07)

  We present a variational multiscale stabilized finite element method to solve the variable density incompressible Navier-Stokes equations for the simulation of two-phase flow. We introduce a level-set method based on the ...

• Adaptive Direct FEM Simulation with Unicorn/FEniCS-HPC for CS1 

  Jansson J.; Krishnasamy E.; Leoni M. (5th International Workshop on High Order CFD Methods, 2018-01-01)

• Hybridizing Cartesian Genetic Programming and Harmony Search for Adaptive Feature Construction in Supervised Learning Problems 

  Elola A.; Del Ser J.; Bilbao M.; Perfecto C.; Alexandre E.; Salcedo-Sanz S. (Applied Soft Computing, 2017-02-28)

  The advent of the so-called Big Data paradigm has motivated a flurry of research aimed at enhancing machine learning models by following very di- verse approaches. In this context this work focuses on the automatic con- ...

• Singularities in Geometry and Topology 

  Romano A. (2018-06-18)

  This thesis consists of two different topics that are not related. The thesis has two different and independent parts that can be read in any order. The purpose of this work is to study two topics in singularity theory: ...

• A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay 

  Einbeck J; Ainsbury EA; Sales R; Barnard S; Kaestle F; Higueras M (PLoS ONE, 2018-11-28)

  Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure ...

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