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Artificial intelligence (AI), machine learning digital integration have provided step changes for various industries. Minerals and energy resources industries are rapidly developing these technologies as the industry becomes more digitally connected. The Internet of Things is about the digital integration of the physical workplace with sensors, processing ability, software and other technologies that connect and exchange data.

These technologies are critical for safe, efficient, and automated operations in isolated environments common to minerals and energy resources engineering. Our machine learning works focuses on the integration of AI technologies to industry workflows and discovering opportunities to surpass current physical limits.

Applications include digital core imaging and characterisation, automated seismic and core interpretation, subsurface characterisation, automation, computer vision of materials, data analytics, site monitoring & assessment, inertial measurement units, global navigation satellite systems, wireless communication technologies, and LIDAR 3D laser scanning in underground environments.

Our people

Program Director - Undergraduate Mining Engineering Degree Simit Raval
Program Director - Undergraduate Mining Engineering Degree
Academic Disability Advisor Stuart Clark
Academic Disability Advisor
Chair of Mining Engineering Serkan Saydam
Chair of Mining Engineering
Chair of the HSE committee; Postgraduate Coordinator (Admission & Scholarships) Guangyao Si
Chair of the HSE committee; Postgraduate Coordinator (Admission & Scholarships)