Alexandr M. Sokolov
University of Tennessee at Chattanooga, Arkansas State University
Papers
2
Total Citations
125
H-Index
2
About
Dr. Alexandr M. Sokolov is a leading researcher at the intersection of industrial automation and intelligent systems, whose work is shaping the transition from Industry 3.0 to the collaborative, AI-driven landscape of Industry 4.0. His seminal 2019 paper, "Advances in Industrial Robotics," with 75 citations, provides a critical framework for understanding how artificial intelligence transforms traditional, isolated robots into cooperative partners in manufacturing. Dr. Sokolov’s research extends beyond the factory floor into critical societal applications. In his highly cited 2023 study, he pioneered an integrated convolutional neural network and sorting algorithm for drone-based image classification, achieving 50 citations for its innovative approach to post-flood disaster management. This work enables autonomous drones to efficiently prioritize relief delivery in inaccessible areas, demonstrating a powerful synergy between machine learning and humanitarian aid. By bridging foundational robotics theory with practical, life-saving AI solutions, Dr. Sokolov’s contributions are not only advancing academic knowledge but also delivering tangible technologies for a safer, more automated world.
Research Focus
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Top Papers
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