Skip to main content

Earth and Environmental Sciences

Photo of Dr Matthew Eyre

Dr Matthew Eyre

Senior Lecturer in Mining Eng/Intelligent Mining

 M.Eyre@exeter.ac.uk

 01326 371855 or (Shared phone) 01326 371855


Overview

Overview:

My research interests are established around electronic and computer control, while exploring various surveying methodologies to accurately control and evaluate engineering problems.  This includes remote sensing and subsequent 3D modelling to aid in the accurate recording, virtual reconstruction and control of mining and industrial processes. The resultant datasets can then be incorporated into a magnitude of different software applications to improve safety and the efficiency of operations. Previous work has included the reconstruction of major incidents in the mining and industrial sectors, exploring the capability of the latest software and technological advancements. Reconstructed virtual models have been used to establish the root cause of the event and engineer specific controls in an accurate virtual environment to prevent reoccurrence, working with both experts in the field and from a legal standing. Other research interests include the use of real time immersive virtual environments to evaluate engineering problems otherwise unachievable in the real world, through augmented reality and gaming platforms. Currently, my research post includes exploring 3D captured data and the influence on the mine design process, geotechnical analysis and automation of mining processes to reduce the risk of human interaction while improving efficiency. 

Biography:

BSc (Hons) Electronic Control Systems

MSc Surveying and Environmental\Land Management

PhD Mining Engineering (Remote Sensing and Accident Investigation) 

Publications:

List of publications.

Opportunities:

I am always interested to hear from prospective research students (MSc and PhD) or postdoctoral researchers. If you like the sound of my research and would like to get involved, then please get in touch.

Back to top


Publications

Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.

| 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 |

2023

2022

2021

2020

2019

2018

2017

2016

  • Coggan JS, Pascoe DM, Eyre ML, Howe JH. (2016) Integrated use of terrestrial laser scanning and thermal imagery for characterization of hydrothermally altered granites, Proceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016, volume 2, pages 855-860.
  • Eyre M, Wetherelt A, Coggan J. (2016) Evaluation of automated underground mapping solutions for mining and civil engineering applications, Journal of Applied Remote Sensing, volume 10, no. 4, pages 046011-046011, DOI:10.1117/1.jrs.10.046011. [PDF]
  • Francioni M, Coggan JS, Eyre M, Vanneschi C, Penfound-Marks LRG, Stead D. (2016) A multi-scale and multi-disciplinary approach for the study and monitoring of rocky coastlines, 88th Congress of the Italian Geological Society, Naples, 7th - 9th Sep 2016, Rendiconti Online della Società Geologica Italiana, volume 40, pages 350-350.
  • Vanneschi C, Coggan J, Mastrorocco G, Francioni M, Eyre M, Salvini R. (2016) Remote sensing techniques in underground mining: Application of terrestrial LIDAR for stability analysis and optimization of excavation activities, 88th Congress of the Italian Geological Society, Naples, 7th - 9th Sep 2016, Rendiconti Online della Società Geologica Italiana, volume 40, pages 713-713.

2015

2014

  • Eyre ML, Pascoe DM, Foster PF, Coggan JS. (2014) Digital data acquisition for effective slope management, 22nd ACME Conference on Computational Mechanics, Exeter, Uk, 2nd Apr - 4th Feb 2014.

Back to top


Further information

Research

My research interests are established around electronic and computer control, while exploring various surveying methodologies to accurately control and evaluate engineering problems.  This includes remote sensing and subsequent 3D modelling to aid in the accurate recording, virtual reconstruction and control of mining and industrial processes. The resultant datasets can then be incorporated into a magnitude of different software applications to improve safety and the efficiency of operations. Previous work has included the reconstruction of major incidents in the mining and industrial sectors, exploring the capability of the latest software and technological advancements. Reconstructed virtual models have been used to establish the root cause of the event and engineer specific controls in an accurate virtual environment to prevent reoccurrence, working with both experts in the field and from a legal standing. Other research interests include the use of real time immersive virtual environments to evaluate engineering problems otherwise unachievable in the real world, through augmented reality and gaming platforms. Currently, my research post includes exploring 3D captured data and the influence on the mine design process, geotechnical analysis and automation of mining processes to reduce the risk of human interaction while improving efficiency. 

Teaching

Teaching

Year 1:

  • CSM1029 Mining and Minerals Engineering

Year 4

  • CSMM418 Mine Automation
  • CSMM421 Group Design Project
  • Mining Professional Programme

Supervision

PhD Students

Abraham Audu: Integrated numerical modelling and visualisation approach for evaluating wellbore stability mechanisms

Herman Aguirre Jofre: Development data sensing and analysis techniques for small mines to imporve productivity

Jane Gallwey: The intergration of remote sensing and machine learning to improve mining processes

Carlo Robiati: The use of remote sensing for extraction optimisation and geotechnics

Suchol Veerawattananun: Development of an operational readiness strategy for the Thai mining industry to ensure best practice

Lingfeng He: Machine learning applications in coastal stability  

Back to top