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D.A. Klebanov is a prominent researcher specializing in intelligent mining systems, automation, and the digital transformation of mining operations. His work sits at the intersection of Industry 4.0 technologies and mining engineering, with a particular focus on developing smarter, safer, and more environmentally responsible approaches to mineral resource extraction. Klebanov's most influential contribution, "Intelligent Mining Engineering Systems in the Structure of Industry 4.0" (2017, 24 citations), laid foundational groundwork for integrating advanced automation and environmental considerations into comprehensive mineral deposit development. This work has become a key reference point for researchers exploring the modernization of mining practices. His subsequent research on robotic transport systems in open-pit mining demonstrated the practical value of telemetry data from autonomous haul trucks, advancing real-world implementation of controlled robotic fleets. His 2020 work on predictive analytics and intelligent dispatch systems reflects a forward-thinking approach to digital mine architecture, while his most recent research on remote control centers signals a growing interest in decentralized, strategically organized mining operations. With a cumulative citation profile reflecting steady influence across nearly a decade, Klebanov's contributions offer valuable insights for students and engineers navigating the rapidly evolving landscape of smart mining and industrial digitalization.