Galina Malykhina

Peter the Great St. Petersburg Polytechnic University

Papers

Total Citations

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About

Galina Malykhina is a forward-thinking researcher focused on the digital transformation of industrial systems, with key contributions in digital twin technology and information measurement systems. Her most cited work, “Digital Twin Technology As A Basis Of The Industry In Future” (2018, 15 citations), establishes a foundational framework for integrating virtual modeling into manufacturing. She argues that the next technological order demands robotics and automation, and that managing such complex production processes is impossible without digital twins—dynamic models that simulate equipment behavior and predict emergencies using real-time sensor data. In her related work, “Information measurement systems in the digital society” (2019, 2 citations), Malykhina extends this vision by emphasizing the critical role of scenario modeling and diagnostic tools powered by measurement information. Her research bridges the gap between theoretical modeling and practical industrial application, offering a roadmap for safer, more efficient automated factories. While her citation counts reflect an emerging rather than established impact, her ideas are timely and resonate with the growing global push toward Industry 4.0. For students and researchers exploring the future of smart manufacturing, Malykhina’s work provides a clear, actionable entry point into the world of digital twins and cyber-physical systems.