Kyle Kotowick

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About

Kyle Kotowick is a researcher focused on advancing the theory and application of persistent surveillance systems, particularly in environments where event rates are unknown or unpredictable. His work addresses critical challenges in sensor resource management and adaptive monitoring, with a key contribution being the development of frameworks that enable efficient, long-duration surveillance without prior knowledge of event statistics. His most-cited paper, "Persistent Surveillance of Events with Unknown Rate Statistics" (2020, 5 citations), introduces novel algorithms for dynamically allocating sensor attention to maximize detection and tracking performance under uncertainty. This research has implications for defense, environmental monitoring, and autonomous systems, where reliable, long-term observation is essential. Kotowick’s contributions are notable for bridging theoretical modeling with practical deployment considerations, offering solutions that improve the robustness and autonomy of surveillance networks. His work continues to influence the design of adaptive sensing systems, making him a valuable voice in the fields of sensor networks, operations research, and intelligent monitoring.