Exequiel SepĂșlveda

Exequiel SepĂșlveda

Postdoctoral Researcher Fellow

The University of Adelaide

Biography

Exequiel SepĂșlveda is a postdoctoral researcher fellow at the School of Civil, Environmental and Mining Engineering in The University of Adelaide. His research interests include machine learning, geostatistics, metaheuristics optimisation, high performance computing and digital mining. He loves programming.

After he completed his studies in Computer Science, Exequiel had almost 20 years experience in software engineering, working in industries in the financial, insurances and energy sectors, among others. That experience brought him to work in the Mining School at The University of Chile, where his became a researcher assistant in the ALGES laboratory. That was the beginning of his interest of doing a PhD in geometallurgy.

Interests

  • Software Development
  • Machine Learning
  • Metaheuristics
  • Geometallurgy
  • High Performance Computing

Education

  • PhD in Geometallurgy - Mining Engineering, 2018

    The University of Adelaide

  • BSc in Computer Science, 1996

    University of Chile

Skills

Python

90%

Statistics

95% confidence interval

Fullstack developer

90%

Experience

 
 
 
 
 

Postdoctoral Researcher Fellow

The University of Adelaide

Aug 2019 – Present Adelaide, Australia

Rapid Resource Model Updating

Responsibilities include:

  • Research
  • Modelling
  • Developing
 
 
 
 
 

Postdoctoral Researcher Fellow

The University of Adelaide

Apr 2018 – Jul 2019 Adelaide, Australia

Heterogeneity Index for Grade Engineering

Responsibilities include:

  • Research
  • Modelling
 
 
 
 
 

HPC Support Offcier & Analyst

The University of Adelaide

Jun 2015 – Mar 2018 Adelaide, Australia
Part of support team helping researchers to use HPC Phoenix system. Deliver workshops and tutorials.

Recent Publications

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A Methodology for the Simulation of Synthetic Exploration and Geometallurgical Database for Educational Purposes

The access to real geometallurgical data is very limited in practice, making it difficult for practitioners, researchers and students 


An overview of good practices in the use of geometallurgy to support mining reserves in copper sulfides deposits

Public reports are prepared to inform investors or potential investors and their advisers on exploration results, mineral resources or 


Prediction of copper recovery from geometallurgical data using D-vine copulas

The accurate modelling of geometallurgical data can significantly improve decision-making and help optimize mining operations. This 


A Methodology for the Simulation of Synthetic Geometallurgical Block Models of Porphyry Ore Bodies

The access to real geometallurgical block models is very limited in practice, making difficult for practitioners, researchers and 


Fuzzy clustering with spatial correction and its application to geometallurgical domaining

This paper describes a proposed method for clustering attributes on the basis of their spatial variability and the uncertainty of 


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