Papers
6
Total Citations
113
H-Index
3
About
Iason Katsamenis is a researcher specializing in computer vision, deep learning, and robotics-driven infrastructure inspection and maintenance. His work sits at the intersection of artificial intelligence and civil engineering, with a particular focus on developing automated systems for detecting, classifying, and localizing structural defects in road and urban infrastructure. His most influential contribution, "Simultaneous Precise Localization and Classification of Metal Rust Defects Using Residual Attention U-Net" (2022, 68 citations), demonstrates his expertise in applying advanced neural network architectures to real-world maintenance challenges, enabling robotic systems to identify corrosion with high precision. This work has become a key reference in the field of automated defect detection. Katsamenis has been a prominent contributor to the HERON Project, an ambitious initiative advancing robotic maintenance of road infrastructure, reflecting his commitment to translating AI research into practical engineering solutions. His more recent work explores UAV-based monitoring systems, leveraging drone imagery and object detection frameworks such as YOLOv8 to enable real-time road defect assessment and urban pavement management. With over 100 cumulative citations, Katsamenis is establishing himself as a rising voice in intelligent infrastructure maintenance, bridging the gap between cutting-edge deep learning research and scalable, real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic Maintenance of Road Infrastructures: The HERON Project27 citations · 2022
- 3Real time road defect monitoring from UAV visual data sources11 citations · 2023
- 4Robotic Maintenance of Road Infrastructures: The HERON Project3 citations · 2022
- 5Chapter 11. Robotics-Enabled Roadwork Maintenance and Upgrading2 citations · 2024
- 6