معرفی
Vasileios Argyriou is affiliated with Kingston University, specifically within the Faculty of Science, Engineering and Computing, and the School of Computer Science and Mathematics. He is an active researcher with a prolific publication record in computer vision, image processing, machine learning, and IoT applications.
His research interests span a wide range of topics including Computer Vision, Photometric Stereo, Motion Estimation, Federated Learning, Remote Sensing, UAV-based Smart Farming, 3D Reconstruction, and Human-Computer Interaction. His work often bridges theoretical advances with real-world applications in agriculture, healthcare, and cybersecurity.
The recent publications (2024–2025) highlight a strong focus on AI-driven solutions in agriculture (e.g., water stress detection), anomaly detection in video, secure federated learning, and advanced face reenactment using GANs. His methodologies frequently involve deep learning, sensor fusion, and simulation-based training.
Scientific Awards:
- No awards explicitly mentioned in the provided text.
Advising and Grants: While no explicit list of students or grants is provided, his extensive collaboration with researchers such as Panagiotis Sarigiannidis, Thomas Lagkas, Ilias Siniosoglou, and others suggests active supervision and participation in funded research projects, likely in EU or national programs related to IoT, AI, and smart systems.
Labs and Teams: He appears to be part of a research group focused on intelligent systems, possibly involving the Intelligent Systems Research Group at Kingston University, with strong ties to Greek academic institutions. His work on UAVs, IoT, and federated learning indicates involvement in interdisciplinary teams developing smart, secure, and scalable AI solutions.
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