Predict House Prices
This is my approach to the Kaggle Competition Predict House Prices using Advanced Regression Techniques.
This is my Portfolio,
A showcase of my work and interests
Signal Classification
This is a signal classification model I've been working on. The aim is to facilitate a medical diagnosis with the classification of a 8 channels pressure signal. The dataset is private, but I'm sharing my approach. For now, we are working with a limited dataset, so classic ML models are performing better than deep neural networks and have been our choice.
Micro-Genetic Optimization Algorithm
This is an algorithm I first implemented in the optimization course of my PhD.
Later I updated the code to run in pair with ABAQUS:
It finds the best material parameters
of a constitutive model to fit an experimental curve by minimizing the least square differences
between the experimental and the numerical results.
The code is mainly in Matlab, in pair with python.
G-Code to Abaqus
I am currently working in the finite element simulation of Additive Manufacturing.
To build a simulation in ABAQUS, it is necessary to parse the GCODE to an ABAQUS friendly
input file.
Here is the parser I wrote using python.
Muscle Activation
This is a user-defined subroutine to model the behavior of smooth muscle, including the activation
process driven by the increase of intracelular calcium
It is written in FORTRAN for application with ABAQUS finite element software.
Soft Tissues Permanent Deformation
This is a user defined subroutine for ABAQUS finite element software (UMAT). It allows to model the
behavior of soft tissues under cyclic loading, including the effects of permanent deformation.
The subroutine is written in FORTRAN.