Georgios Zampokas
Papers
1
Total Citations
8
H-Index
1
About
Georgios Zampokas is a researcher at the forefront of automated infrastructure inspection, specializing in computer vision, deep learning, and unmanned aerial vehicle (UAV) applications for energy systems. His work addresses the critical challenge of scaling and automating the monitoring of energy infrastructure—such as power lines and substations—which is essential for improving safety, reducing costs, and enabling predictive maintenance. Zampokas is best known for introducing the WTA/TLA dataset, a pioneering UAV-captured benchmark designed specifically for semantic segmentation of energy infrastructure. This contribution, published in 2022 and already garnering 8 citations, provides a standardized resource that enables researchers to develop and evaluate algorithms for detecting and classifying key components like insulators, conductors, and pylons from aerial imagery. By bridging the gap between robotics, computer vision, and energy engineering, his work directly supports the transition toward autonomous inspection systems. Zampokas’s research not only advances the state of the art in scene understanding for challenging outdoor environments but also offers practical tools for industry, making him a notable emerging voice in applied AI for critical infrastructure monitoring.
Research Focus
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Top Papers
- 1