Papers
3
Total Citations
68
H-Index
3
About
Igor Atamanyuk is a researcher whose work spans the frontiers of robotics, artificial intelligence, and financial technology. His primary research areas include machine learning for real-time sensor and control systems, industrial automation, and the intersection of fintech with national financial security. Atamanyuk’s major contribution lies in developing machine learning techniques that dramatically increase the efficiency of robot sensor and control information processing—a critical advancement for real-time systems in industry, from SCADA to autonomous robotics. His most cited paper, "Machine Learning Techniques for Increasing Efficiency of the Robot’s Sensor and Control Information Processing" (2022), has garnered 40 citations, reflecting its impact on practical robotics. He has also contributed to the field of prosthetics through collaborative work at Cleveland State University, exploring modern information and modeling technologies. Notably, Atamanyuk has addressed the paradigm shifts needed to strengthen state financial security through fintech development, demonstrating a unique breadth from hardware-level robotics to macroeconomic policy. His work is essential reading for students and researchers interested in the convergence of AI, real-time control, and the socio-economic implications of technology.
Research Focus
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