Kakia Panagidi

National and Kapodistrian University of Athens

Papers

Total Citations

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About

Kakia Panagidi is a researcher at the forefront of mobile IoT and autonomous systems, specializing in the optimization of communication and information flow for unmanned vehicles (UxVs). Her work addresses a critical challenge in modern robotics: how resource-constrained drones and robotic devices can intelligently decide when to transmit data. Panagidi’s key contribution is the development of **time-optimized contextual information flow** frameworks, most notably the **MOTIVE** system, which prioritizes and schedules sensor data transmission to maximize efficiency and minimize latency. Her research, published in leading venues, has garnered significant attention, with her most cited paper, "MOTIVE - Time-Optimized Contextual Information Flow On Unmanned Vehicles" (2021), accumulating **7 citations** and establishing a foundation for future work in the field. Her earlier paper, "To Transmit or Not to Transmit" (2020), with **5 citations**, further explores the nuanced decision-making process for communication in mobile IoT landscapes. Panagidi’s work is vital for enabling reliable, real-time data exchange in critical applications like disaster relief, environmental monitoring, and search-and-rescue operations, making her a rising authority in the intersection of IoT, robotics, and contextual computing.