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Session 6a | Data management

Stream A
Wednesday, November 30, 2022
10:45 AM - 12:45 PM
Goldfields Theatre

Speaker

Mr Lesley Munsamy
Head of Geotechnical
Anglo American

Session 6a | Session Chair

Biography

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Mr Sarp Saydam
Digital Development Engineer
DSI Underground

Underground rock bolt detection

10:45 AM - 11:05 AM

Biography

Sarp Saydam received the bachelor’s degree (Hons.) in mining engineering from the School of Minerals and Energy Resources Engineering, UNSW Sydney. He is currently working as a Digital Development Engineer with DSI Underground, Sydney, Australia. He has three years of experience as an Underground LiDAR Scan Technician.
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Dr Dagan Bakun-Mazor
Senior Lecturer
Shamoon College of Engineering (SCE)

Data mining in rock mining: predicting mechanical properties of carbonate rocks using hyperspectral remote sensing

11:05 AM - 11:25 AM

Biography

Dr. Dagan Bakun-Mazor is an expert in the field of engineering geology. He earned his PhD in Geology and Environmental Sciences at Ben-Gurion University of the Negev in Beer-Sheva, Israel, with his dissertation on dynamic behavior of rock masses. Dr. Bakun-Mazor works in the field of Soil and Rock Mechanics, currently researching remote sensing approaches to evaluate mechanical properties of rock masses. Dr. Bakun-Mazor raises grants from competitive and prestigious research funds. He is the Vice President of the Israel Rock Mechanics Association (ISRM-NG) and the former Head of the Department of Civil Engineering at SCE.
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Ms Karnallisa Desmy Halim
Graduate Student (Master's Program)
Kansai University

Evaluation of rock joint on construction tunnel face using convolutional neural network

11:25 AM - 11:45 AM

Biography

Karnallisa Desmy Halim is a Master’s student at Kansai University in Osaka, Japan. Originally from Indonesia, she came to Japan to study civil engineering as her undergraduate course before deciding to focus on geomechanics for her Master’s program. Her field of research includes rock mechanics, tunnel engineering and machine learning. She is fluent in Indonesian, English, Japanese, and Mandarin Chinese.
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Mr Jason Emery
Geotechnical Engineer
Optimum Geotechnics

Data analytics and machine learning methods applied to underground coal mine roof convergence data

11:45 AM - 12:05 PM

Biography

Jason Emery is an RPEQ certified geotechnical engineer with a keen interest in practical innovation and applied research. Jason has published and presented papers in several international journals and conferences including Australia, China, and the USA. He holds a dual BSc/BA from UQ, a Graduate Diploma and Masters in Geotechnical Engineering from UNSW and is now a final year PhD candidate at UNSW. Jason is currently the director and principal geotechnical engineer of Optimum Geotechnics, primarily working for mines located in the Bowen Basin of Central Queensland.
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Mr Ruiyu Liang
RSCH
UNSW Sydney

Multi-factor integrated data analytics and data-driven decision-making for ground control management

12:05 PM - 12:25 PM

Biography

Ruiyu Liang has B.E. and M.E. degrees in mining engineering (2016 and 2020) from the School of Resources and Civil Engineering, Northeastern University, China. He started pursuing his PhD in 2020 at the School of Minerals and Energy Engineering, UNSW. His research interests are data visualisation and data analytics in underground mining. He focuses on Unity-based 3D interactive visualisation development, visual analytics, and data fusion. Utilising 3R applications and devices to display underground mining sectors is one of his main research topics. In the big data context, he is working on fusing data visualisation and data analytics, then providing more insights on geological hazard prediction and prevention. Hence, data structure, data management, and data interpretation are part of his research. To achieve reasonable visual analytics in mining, he is working on lifetime virtual model development and maintenance, which aims to realise data-driven model development and automatic generation. Based on this, 3D virtual analytics can be adopted in underground mining engineering.
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