Integrated Evaluation, QG Scott Jackson is the Managing Director and principal consultant at QG, with more than 20 years’ experience in mining and exploration geology. After initially working as a Project Geologist, Scott studied geostatistics at the prestigious Paris School of Mines before returning to consult on projects across various commodities and environments. He has expertise in geostatistics and resource estimation with particular strengths around audit/review and characterising orebody variability. Scott has a wide breadth of commodity and orebody exposure with a bias towards porphyry Cu-Au, base metals and gold.
Professor Erhan Kozan, Integrated Evaluation, QUT
Professor Kozan is the leader of the Decision Science Group in the Mathematical Sciences School at Queensland University of Technology, Australia. He has 40 years industrial, managerial, teaching and research experience in the areas of operations research and worked with the World Bank Group and the United Nations Development Program. Professor Kozan has acted as principal investigator for over 25 long-term industrial projects, and 18 competitive national and international research grants since 1996 in the areas of health, finance, metals, transportation, supply chains and logistics. He is the author of over 210 journal papers, conference papers and industrial reports, has supervised more than 35 postgraduate research students and is currently supervising seven PhD students. He established the Operations Research Group - QUT in 1996 and is a former president of the Asia Pacific Industrial Engineering and Management Society (APIEMS) and Australian Society for Operations Research.
Dr Shi Qiang Liu,
Professor Bernd Lottermoser,
Integrated Evaluation, QUT Dr Shi Qiang (Samuel) Liu is currently working as a Postdoctoral Researcher under the “Advanced Scheduling Methodologies for Mining” project of CRC ORE’s Resource Evaluation program. He has solid background in Operations Research, Planning and Scheduling in various industries, Artificial Intelligence, Optimisation Algorithms and Simulation. He is proficient in computer programming and software development. He once worked as a software engineer in Temasek Laboratories and a design engineer in WEW Automation Ltd in Singapore. He was awarded the PhD degree in Operations Research from Queensland University of Technology (QUT) and his PhD thesis was nominated for University Outstanding Doctoral Thesis Award. He also obtained his M.Eng. degree in Industrial & Systems Engineering from National University of Singapore; M.Eng. degree in ThermoPhysics, B.Eng. degree in Thermal Engineering, B.Sci. degree in Economics from Harbin Institute of Technology (HIT). He has published several papers in top journals including Transportation Science, International Journal of Production Economics, Computers and Operations Research, Journal of the Operational Research Society, Advances in Engineering Software, etc. Due to his academic contributions, was awarded the New Researcher Medal by Australian Society for Operations Research (ASOR) and the Dean’s Award for Academic Excellency by QUT.
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Scott Jackson,
The high-level skills of Our people is the hallmark of CRC ORE
Environmental Indicators, Exeter Professor Lottermoser has worked in the mining industry and also in research and academic instruction at Australian, German and British universities. His work has been recognised by a German Humboldt Research Fellowship, an Erasmus Mundus Fellowship of the European Union, and an Endeavour Executive Award and the Michael Daly Award for Excellence in Science Communication by the Australian Government. Bernd has written more than 130 publications as well as a geological guidebook on northern Australia and an acclaimed textbook on mine wastes published by Springer. The textbook has been published in its third edition and is used widely around the world, including for legal cases presented in the Supreme Court of the United States.
Dr Sorousha Moayer, Integrated Evaluation, QG
Dr Sorousha Moayer has a background in decision analysis and risk modelling, scenario planning and optimisation, software development and quantitative analysis. Since 2001, he has been involved in feasibility and requirement studies for developing production planning software, designing process simulation and optimisation software with particular emphasis on operation planning, scheduling and supply chain management. To date, Sorousha has been involved in the development of a bespoke project and mine evaluation scenario tool kit. This entails mapping, problem-solving and programming each component of the evaluation pipeline, from resources to reserves and financial modelling across all mineral commodities. He is responsible for technical architecture and solution design for a web based software called QISK, based on .NET 4 and SQL Server 2008 R2 utilising technologies including the ASP.net framework, MVC and web services.
Nishani Mousafer,
Integrated Evaluation, QUT Nishani Musafer is now working on her PhD thesis at Queensland University of Technology, Australia, which is focussed on developing an optimal design for drill core sampling. She completed her BSc (Hons) in statistics with a first class at the University of Sri Jayewardenepura, Sri Lanka, in 2009 and awarded the gold medal for statistics for the highest academic excellence . She lectured in statistics at the University of Sri Jayewardenepura, Sri Lanka, before she commenced her PhD research program.
Amin Alah Mousavi Nogholi,
Advanced Scheduling, QUT Amin received his Bachelor’s Degree in Mining Engineering from Isfahan University of Technology (Iran) in 2007. He started his Masters program immediately after graduation and achieved a Masters in Mining Engineering from Tarbiat Modares University, Iran. His research for the final thesis of his Bachelor and during his Masters degree focussed on Mine Design, Planning and Scheduling. In his Master’s thesis entitled “final open-pit limit optimisation using neural networks”, Amin applied Geostatistical Simulation, Neural Network and a heuristic algorithm simultaneously in order to determine optimum pit limit under uncertainty conditions and impurity limitations. Amin’s interest in applying optimisation methods to the mining industry encouraged him to continue his education as a doctoral student at the school of Mathematical Sciences, Queensland University of Technology, working on advanced scheduling methodologies. Amin’s project is supported by CRC ORE and supervised by Professor Erhan Kozan.
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pg 59 | Industry Focussed • Our RESEARCH • Our Operations
2012-2013 CRC ORE Annual Report | pg 60