Dr Matthew Eyre
Senior Lecturer in Mining Eng/Intelligent Mining
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:
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.
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
- Aguirre Jofre H. (2023) Low-cost Internet of Things (IoT) for monitoring and controlling mining fleet using event classifications and pattern recognition in quarries and small-scale open-pit mines.
- Robiati C, Mastrantoni G, Francioni M, Eyre M, Coggan J, Mazzanti P. (2023) Contribution of High-Resolution Virtual Outcrop Models for the Definition of Rockfall Activity and Associated Hazard Modelling, Land, volume 12, no. 1, pages 191-191, DOI:10.3390/land12010191. [PDF]
- Yeomans CM, Claridge H, Hudson AJL, Shail RK, Willems C, Eyre M, Harker C. (2023) A single multi-scale and multi-sourced semi-automated lineament detection technique for detailed structural mapping with applications to geothermal energy exploration, Quarterly Journal of Engineering Geology and Hydrogeology, volume 56, no. 2, DOI:10.1144/qjegh2022-051. [PDF]
2022
- Hudson-Edwards K. (2022) A Multi-Scale Feasibility Study into Acid Mine Drainage (AMD) Monitoring Using Same-Day Observations, Remote Sensing, volume 15, pages 15-15, DOI:10.3390/rs15010076.
- Robiati C, Mastrantoni G, Francioni M, Eyre M, Coggan J, Mazzanti P. (2022) Contribution of High-Resolution Digital Twins for the Definition of Rockfall Activity and Associated Hazard Modelling, DOI:10.20944/preprints202212.0142.v1. [PDF]
- Carter-Greaves LE, Eyre M, Vogt D, Coggan J. (2022) Algorithm development for automated key block analysis in tunnels from LiDAR point cloud data, Tunnelling and Underground Space Technology, volume 132, pages 104787-104787, DOI:10.1016/j.tust.2022.104787.
- He L. (2022) Analysis of the role of discontinuities on landslide instability at various scales utilising remote sensing data and numerical modelling.
- He L, Francioni M, Coggan J, Calamita F, Eyre M. (2022) Modelling the Influence of Geological Structures in Paleo Rock Avalanche Failures Using Field and Remote Sensing Data, Remote Sensing, volume 14, no. 16, pages 4090-4090, DOI:10.3390/rs14164090. [PDF]
2021
- Tonkins M, Fernandez Guijarro A, Gullon Buceta A, Eyre M, Jasiulek D, Coggan J. (2021) Evaluation of brittle fracturing in the sedimentary rock through laboratory analysis and computer simulation, Acta Montanistica Slovaca, volume 26, no. 4, pages 634-648, DOI:10.46544/AMS.v26i4.04.
- He L, Coggan J, Stead D, Francioni M, Eyre M. (2021) Modelling discontinuity control on the development of Hell’s Mouth landslide, Landslides, volume 19, no. 2, pages 277-295, DOI:10.1007/s10346-021-01813-3. [PDF]
- Aguirre-Jofré H, Eyre M, Valerio S, Vogt D. (2021) Low-cost internet of things (IoT) for monitoring and optimising mining small-scale trucks and surface mining shovels, Automation in Construction, volume 131, pages 103918-103918, article no. 103918, DOI:10.1016/j.autcon.2021.103918. [PDF]
- Gallwey J. (2021) Development of Mining Sector Applications for Emerging Remote Sensing and Deep Learning Technologies.
- He L, Coggan J, Francioni M, Eyre M. (2021) Maximizing Impacts of Remote Sensing Surveys in Slope Stability—A Novel Method to Incorporate Discontinuities into Machine Learning Landslide Prediction, ISPRS International Journal of Geo-Information, volume 10, no. 4, pages 232-232, DOI:10.3390/ijgi10040232. [PDF]
- Gallwey J, Eyre M, Coggan J. (2021) A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine, Tunnelling and Underground Space Technology, volume 107, pages 103656-103656, article no. 103656, DOI:10.1016/j.tust.2020.103656. [PDF]
2020
- Yeomans C, Claridge H, Hudson A, Shail R, Willems C, Eyre M, Harker C. (2020) A single multi-scale and multi-sourced semi-automated lineament detection technique for detailed structural mapping with applications to geothermal energy exploration, DOI:10.31223/x5r59c. [PDF]
- Yeomans C, Shail R, Eyre M. (2020) The importance of tectonic inheritance and reactivation in geothermal energy exploration for EGS resources in SW England, World Geothermal Congress, Reykjavik, Iceland, 26th Apr - 2nd May 2020, Proceedings World Geothermal Congress 2020.
- Gallwey J, Yeomans C, Tonkins M, Coggan J, Vogt D, Eyre M. (2020) USING DEEP LEARNING AND HOUGH TRANSFORMATIONS TO INFER MINERALISED VEINS FROM LIDAR DATA OVER HISTORIC MINING AREAS, 2020 XXIV ISPRS Congress, Nice, France, 14th Jun - 20th Aug 2020, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, volume xlII-B2-2020, pages 1561-1568, DOI:10.5194/isprs-archives-XLIII-B2-2020-1561-2020.
- Gallwey J, Robiati C, Coggan J, Vogt D, Eyre M. (2020) A Sentinel-2 based multispectral convolutional neural network for detecting artisanal small-scale mining in Ghana: Applying deep learning to shallow mining, Remote Sensing of Environment, volume 248, pages 111970-111970, article no. 111970, DOI:10.1016/j.rse.2020.111970. [PDF]
2019
- Robiati C, Eyre M, Vanneschi C, Francioni M, Venn A, Coggan JS. (2019) Application of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slope, ISPRS International Journal of Geo-Information, volume 8, pages 1-24, article no. 367, DOI:10.3390/ijgi8090367.
- Gallwey J, Eyre M, Tonkins M, Coggan J. (2019) Bringing Lunar LiDAR Back Down to Earth: Mapping Our Industrial Heritage through Deep Transfer Learning, Remote Sensing, volume 11, pages 1-22, article no. 1994, DOI:10.3390/rs11171994.
- Francioni M, Calamita F, Coggan JS, De Nardis A, Eyre M, Miccadei E, Piacentini T, Stead D, Sciarra N. (2019) A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy, Remote Sensing, volume 11, pages 1-25, article no. rs11131570, DOI:10.3390/rs11131570.
- Vanneschi C, Eyre M, Venn A, Coggan JS. (2019) Investigation and modeling of direct toppling using a three-dimensional distinct element approach with incorporation of point cloud geometry, Landslides, pages 1-13, DOI:10.1007/s10346-019-01192-w.
2018
- Vanneschi C, Eyre M, Burda J, Zizka L, Francioni M, Coggan JS. (2018) Investigation of landslide failure mechanisms adjacent to lignite mining operations in North Bohemia (Czech Republic) through a limit equilibrium/finite element modelling approach, Geomorphology, volume 320, pages 142-153, DOI:10.1016/j.geomorph.2018.08.006.
- Cooper J, Wetherelt A, Zazzaro C, Eyre M. (2018) From Boatyard to Museum: 3D laser scanning and digital modelling of the Qatar Museums watercraft collection, Doha, Qatar, International Journal of Nautical Archaeology, volume 47, no. 2, pages 419-442, DOI:10.1111/1095-9270.12298.
- Francioni M, Coggan J, Eyre M, Stead D. (2018) A combined field/remote sensing approach for characterizing landslide risk in coastal areas, International journal of applied earth observation and geoinformation : ITC journal, volume 67, pages 79-95, DOI:10.1016/j.jag.2017.12.016.
2017
- Vanneschi C, Eyre M, Francioni M, Coggan J. (2017) The Use of Remote Sensing Techniques for Monitoring and Characterization of Slope Instability, Procedia Engineering, volume 191, pages 150-157, DOI:10.1016/j.proeng.2017.05.166.
- Eyre M, Foster P, Speake G, Coggan J. (2017) Integration of Laser Scanning and Three-dimensional Models in the Legal Process Following an Industrial Accident, Safety and Health at Work, volume 8, no. 3, pages 306-314, DOI:10.1016/j.shaw.2016.11.005. [PDF]
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
- Keverne B, Howe JH, Pascoe DM, Eyre ML, Coggan JS. (2015) Remediation of a hazardous legacy slope face using pre-split blasting, Eurock2015, Salzburg, Austria, 7th - 10th Oct 2015, Proceedings of the ISRM Regional Symposium Eurock2015 & 64th Geomechanics Colloquium, pages 217-222.
- Eyre ML, Foster PJ, Jobling-Purser J, Coggan J. (2015) The Benefits of Laser Scanning & 3D Modelling in Accident Investigation: In a Mining Context, Transactions of the Institutions of Mining and Metallurgy Section A: Mining Technology, volume 124, no. 2, pages 73-77, DOI:10.1179/1743286315Y.0000000004.
- Eyre M, Foster PJ, Hallas K, Shaw R. (2015) The Use of Laser Scanning as a Method for Measuring Stairways Following an Accident, Survey Review, DOI:10.1179/1752270615Y.0000000014.
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.
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