Entso Veliou
Papers
2
Total Citations
16
H-Index
2
About
Entso Veliou is a researcher at the forefront of human-machine collaboration in advanced manufacturing, with a focused expertise on integrating artificial intelligence into industrial quality control. His work centers on the critical challenge of keeping human workers meaningfully engaged in increasingly automated production environments. Veliou’s primary contribution lies in developing frameworks that combine explainable AI (xAI) with active learning, specifically for visual inspection tasks. This approach ensures that AI systems not only detect defects but also provide transparent reasoning for their decisions, allowing human inspectors to remain in the loop as effective supervisors and decision-makers. His most cited work, "Human in the AI Loop via xAI and Active Learning for Visual Inspection" (2023), has accumulated over a dozen citations, signaling growing interest in his practical, human-centric methodology. By addressing the reshaping of the human role in Industry 4.0, Veliou is pioneering pathways for more intuitive, trustworthy, and collaborative human-robot partnerships on the factory floor.
Research Focus
Key Achievements
Top Papers
- 1Human in the AI Loop via xAI and Active Learning for Visual Inspection13 citations · 2023
- 2Human in the AI loop via xAI and Active Learning for Visual Inspection3 citations · 2023