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Professor Kamran Esmaeili leads the work undertaken in the Mine Modeling and Analytics lab. His research strives to explore the development of predictive analytics and smart modeling solutions for the mining industry that allow 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). The Mine Modelling and Analytics lab is equipped with a variety of computing tools to facilitate design of enhanced mining sites, and to run numerical simulations for analysis. The lab also has access to excellent field measurement tools including: a multi-sensor core logging facility (high-resolution 360-degree core scanner, Leeb Equotip hardness tester, Acoustic emission test, Schmidt hammer), a DJI-Matrices 600 Pro Drone, LiDAR, and Photogrammetry camera.
Department of Sociology