Doctor of Philosophy/Doctor of Engineering (D.E.) in Mining Engineering

Missouri University of Science and Technology

The core research strengths include surface mining methods and heavy mining machinery, mine ventilation and mine atmospheric control, explosives engineering, sustainable development and mine optimization, rock mechanics and ground control, minerals, coal and materials processing, minerals and energy economics, and underground mining methods and equipment. Graduate students in any of these programs must consult the graduate degree requirements in mining engineering, the graduate catalog of Missouri S&T and their respective advisors. The Ph.D. program requires a minimum of 3 years of full-time study beyond the bachelor’s degree, including research work for the dissertation. Ph.D. candidates must complete at least 15 credit hours of course work at Missouri S&T and are required to pass the qualifying, comprehensive and final oral examinations of the Ph.D. program. The D.E. degree requires a minimum of 3 years of full-time study beyond the bachelor’s degree, including research work for the dissertation. D.E. students must pass the qualifying, comprehensive and final oral examinations and must also satisfy an engineering internship requirement. The eight research major areas include (i) surface mining methods and heavy mining machinery (ii) mine ventilation and mine atmospheric control (iii) explosives engineering (iv) sustainable development and mine optimization (v) rock mechanics and ground control (vi) mineral, coal and materials processing (vii) minerals and energy economics and (viii) underground mining methods and equipment. Surface mining methods and heavy mining machinery research focuses on surface mining, formation excavation, heavy machinery imaging and integration, mine safety and health, machine and component health, equipment vision, intelligent mining systems and stochastic processes and risks simulation. Specific research frontiers include (i) mining methods, design and production systems (ii) formation failure dynamics, machine-formation interactions (iii) kinematics, dynamics and virtual prototype simulation (iv) machine health and longevity (v) augmented equipment vision (vi) machine vibrations and operator health (vii) tire durability management (viii) intelligent excavation (ix) machine automation (x) random fields and stochastic processes (xi) numerical, parametric and stochastic simulation.

College of Engineering and Computing