Samuel Frimpong
Papers
4
Total Citations
48
H-Index
3
About
Samuel Frimpong is a leading authority in mining engineering, with a primary focus on equipment simulation, automation, and human-machine collaboration in surface mining operations. His seminal 2005 work on virtual prototype simulation of hydraulic shovel kinematics—cited 26 times—provided mine planners with a foundational tool for optimizing spatial environments, enhancing both safety and operational efficiency in constrained mining zones. Frimpong has been at the forefront of the industry’s digital transformation, as evidenced by his 2025 paper on automation and robotics, which garnered 12 citations and outlines a vision for eliminating fatalities through AI, machine learning, and IoT integration. His earlier simulation of automated dump trucks for large-scale operations (2003, 9 citations) addressed the economic and logistical challenges of deploying ultra-class haulage equipment like the CAT 797 in oil sands. Most recently, his critical review of human-machine collaboration (2025) explores the emerging frontiers of intelligent systems, cementing his role as a visionary shaping the future of mining. With over 48 cumulative citations across these works, Frimpong’s research continues to drive safer, more efficient, and technologically advanced mining practices.
Research Focus
Key Achievements
Top Papers
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