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His research strives to explore development of predictive analytics and smart modeling solutions for the mining industry that allows better mine design and continuous mining process control and optimization. The ongoing research projects fall into the following three key interrelated areas:
development of innovative methods for real-time acquisition of high-resolution mining data, digital transformation of mining data, data integration, analytics and visualization;
development of predictive 3D spatial models of rock mass properties (i.e. Geomechanical, Structural and Geometallurgical models) based on advanced statistical and geostatistical techniques; and,
investigation of the influence of rock mass heterogeneity and anisotropy on its responses when subjected to different static and dynamic loading conditions (i.e. influence of heterogeneity and anisotropy on rock mass strength, fragmentation and stability).
development of innovative methods for real-time acquisition of high-resolution mining data, digital transformation of mining data, data integration, analytics and visualization;
development of predictive 3D spatial models of rock mass properties (i.e. Geomechanical, Structural and Geometallurgical models) based on advanced statistical and geostatistical techniques; and,
investigation of the influence of rock mass heterogeneity and anisotropy on its responses when subjected to different static and dynamic loading conditions (i.e. influence of heterogeneity and anisotropy on rock mass strength, fragmentation and stability).
研究兴趣
论文共 28 篇作者统计合作学者相似作者
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INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENTno. 4 (2023): 255-276
Minerals Engineering (2023): 108448
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Saleh Ghadernejad,Kamran Esmaeili
Bulletin of Engineering Geology and the Environmentno. 1 (2023): 1-18
Remote. Sens.no. 6 (2023): 1641-1641
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Geoinformaticapp.1-13, (2022)
SSRN Electronic Journal (2022): 100104
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2021): 104839
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