Mr Exequiel Sepulveda Escobedo
Postdoctoral Research Fellow
School of Civil, Environmental and Mining Engineering
Faculty of Engineering, Computer and Mathematical Sciences
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
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Appointments
Date Position Institution name 2019 Postdoc Research Fellow The University of Adelaide 2017 Conferencing Professor Universidad de Talca 2009 - 2013 Research Assistant University of Chile -
Language Competencies
Language Competency English Can read, write, speak, understand spoken and peer review Spanish - Latin American Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2014 - 2018 University of Adelaide, Adelaide Australia PhD 1989 - 1994 University of Chile Chile Engineering in Computer Science -
Research Interests
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Journals
Year Citation 2020 Garrido, M., Sepulveda Escobedo, E., Ortiz, J., & Townley, B. (2020). Simulation of Synthetic Exploration and Geometallurgical Database of Porphyry Copper Deposits for Educational Purposes. NATURAL RESOURCES RESEARCH, 29(6), 3527-3545.
2018 Sepulveda Escobedo, E., Dowd, P., & Xu, C. (2018). The optimisation of block caving production scheduling with geometallurgical uncertainty - a multi-objective approach. Mining Technology: Transactions of the Institute of Mining and Metallurgy, 127(3), 131-145.
Scopus32018 Sepulveda Escobedo, E., Dowd, P., & Xu, C. (2018). Fuzzy clustering with spatial correction and its application to geometallurgical domaining. Mathematical Geosciences, 50(8), 895-928.
Scopus9 WoS62017 Sepulveda, E., Dowd, P., Xu, C., & Addo, E. (2017). Multivariate modelling of geometallurgical variables by projection pursuit. Mathematical Geosciences, 49(1), 121-143.
Scopus11 WoS112015 Perez, S., Karakus, M., & Sepulveda, E. (2015). A preliminary study on the role of acoustic emission on inferring Cerchar abrasivity index of rocks using artificial neural network. Wear, 344-345, 1-8.
Scopus6 WoS4 -
Conference Papers
Year Citation 2019 Addo Junior, E., Metcalfe, A., Chanda, E., Sepulveda, E., & Adeli, A. (2019). Prediction of copper recovery from geometallurgical data using D-vine copulas. In Proceedings of the Geometallurgy Conference 2018, as published in Journal of the Southern African Institute of Mining and Metallurgy Vol. 119 (pp. 339-346). Cape Town, South Africa: South African Institute Mining and Metallurgy.
2017 Garrido, M., Sepulveda Escobedo, E., & Navarro, F. (2017). Optimization of planning and scheduling of ore body with open pit extraction considering homogeneity in clays as geometallurgical variables. In Proceeding of Geomin - Mineplanning 2017 (pp. 1-8). online: Gecamin. 2015 Sepulveda Escobedo, E., Dowd, P., & Xu, C. (2015). Modelling geometallurgical response variables using Projection Pursuit regression. In Proceeding of the 11th International Mineral Processing Conference (pp. 1-10). online: Gecamin Digital Publications. 2012 Baeza, D., Sepulveda Escobedo, E. M., & Ortiz, J. (2012). Parallelization of simulation algorithm with GPU for constructing high resolution models of Earth Sciences variables. In Proceeding of the geoENV2012. Valencia. 2012 Baeza, D., Sepulveda Escobedo, E. M., & Ortiz, J. (2012). Improve an efficient simulation of multidimensional Gaussian random fields in GPU. In Proceedings of the HPCLatam 2012. Buenos Aires. 2010 Sepulveda Escobedo, E. M., & Ortiz, J. (2010). Distributed-Multiprocess Implementation of Kriging for the Estimation of Mineral Resources. In Proceeding of the MININ 2010. Santiago. 2008 Sepulveda Escobedo, E. M., Ortiz, J., Barberan, A., & Magri, E. (2008). Innovations in Software Development for Resource Evaluation. In Proceeding of the MININ 2008. Santiago.
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2018 Co-Supervisor Resource Heterogeneity Modelling for Optimal Ore Extraction Doctor of Philosophy Doctorate Full Time Miss Yusha Li -
Other Supervision Activities
Date Role Research Topic Location Program Supervision Type Student Load Student Name 2018 - 2019 Principal Supervisor Machine learning for resources evaluation in mining Universidad de Talca — Honours Full Time Branco Espinoza
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