Konstantinos N. Plataniotis
Papers
8
Total Citations
122
H-Index
5
About
Konstantinos N. Plataniotis is a pioneering researcher whose work spans the theoretical foundations of autonomous systems, intelligent signal processing, and human-machine symbiosis. He has made landmark contributions to the emerging field of Symbiotic Autonomous Systems (SAS), where he explores how advanced AI can achieve collective intelligence through seamless human-machine collaboration, as detailed in his highly cited 2021 paper (46 citations). His research also addresses practical applications, including 3-D object localization for smart homes and adaptive Kalman filtering for camera tracking, demonstrating a rare ability to bridge abstract theory with real-world deployment. With a career that includes foundational work on adaptive filters for multichannel signal processing, Plataniotis has shaped both the philosophical and mathematical underpinnings of autonomous systems. His leadership is further evidenced by organizing the plenary panel at the inaugural IEEE ICAS’21, which set the agenda for future autonomous systems development. Through his rigorous theoretical frameworks and applied innovations, Plataniotis continues to influence how intelligent systems evolve from reflexive to fully autonomous, making him a key figure in the next generation of AI research.
Research Focus
Key Achievements
Top Papers
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- 5Sample-based adaptive Kalman filtering for accurate camera pose tracking10 citations · 2019
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- 7Adaptive filters for multichannel signal processing3 citations · 2002
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