Igor Saenko

ITMO University, Russian Academy of Sciences

Papers

Total Citations

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About

Igor Saenko is a leading researcher in intelligent systems for autonomous technologies, specializing in the diagnostic evaluation of complex autonomous technical objects (CATOs) such as bodynets, unmanned vehicles, and robotic aerial systems. His work addresses the critical challenge of ensuring safety and reliability in these systems under dynamic, real-world conditions. Saenko’s most influential contribution is his pioneering application of wavelet analysis for intelligent state assessment, first detailed in his 2019 paper (11 citations), which introduced a novel framework for detecting and interpreting anomalies in autonomous object behavior. He further refined this methodology in his 2023 follow-up study (3 citations), expanding its applicability to evolving autonomous platforms. By integrating wavelet transforms with intelligent evaluation algorithms, Saenko has provided a robust tool for real-time monitoring and fault prediction, directly enhancing operational security. His research bridges signal processing and autonomous systems engineering, offering practical solutions for next-generation robotics and unmanned vehicles. With growing recognition for his foundational work, Saenko continues to shape the future of autonomous system diagnostics.