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Exequiel Manuel Sepúlveda Escobedo

Postdoc Fellow

University of Adelaide

Adelaide, Australia

Líneas de Investigación


Minería digital, Machine Learning, Geometalurgia, Optimización

Educación

  •  Ciencias de la Ingeniería, UNIVERSIDAD DE CHILE. Chile, 1996
  •  Ingeniería de Minas, UNIVERSITY OF ADELAIDE. Australia, 2018
  •  Ingeniero Civil en Computación, UNIVERSIDAD DE CHILE. Chile, 1998

Experiencia Académica

  •   Posdoctoral Follow Part Time

    UNIVERSITY OF ADELAIDE

    Engineering

    Adelaide, Australia

    2018 - At present

  •   Profesor Conferenciante Other

    UNIVERSIDAD DE TALCA

    Ingeniería

    Curicó, Chile

    2018 - At present

Experiencia Profesional

  •   Ingeniero de software e investigador asistente Full Time

    Laboratorio ALGES, Universidad de Chile

    Chile

    2010 - 2014

Premios y Distinciones

  •   Dean Comendation for Doctoral Thesis Excellence

    UNIVERSITY OF ADELAIDE

    Australia, 2018

    Dean Comendation for Doctoral Thesis Excellence


 

Article (4)

Fuzzy Clustering with Spatial Correction and Its Application to Geometallurgical Domaining
The optimisation of block caving production scheduling with geometallurgical uncertainty - a multi-objective approach
Multivariate Modelling of Geometallurgical Variables by Projection Pursuit
A preliminary study on the role of acoustic emission on inferring Cerchar abrasivity index of rocks using artificial neural network

ConferencePaper (1)

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

ConferenceProceedingWhole (1)

Optimization of planning and scheduling of ore body with open pit extraction considering homogeneity in clays as geometallurgical variables
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Exequiel Sepúlveda

Postdoc Fellow

School of Civil, Environmental and Mining Engineering

University of Adelaide

Adelaide, Australia