Alexandros Palaios

Papers

2

Total Citations

18

H-Index

2

About

Alexandros Palaios is a leading researcher in the field of wireless communications for the industrial Internet of Things (IIoT), with a specific focus on enabling AI-driven, connected manufacturing environments. His major contributions center on the empirical characterization of wireless channels in complex industrial settings, particularly for automated guided vehicles (AGVs). Palaios has spearheaded the creation of two groundbreaking datasets: industrial Vehicle-to-Vehicle (iV2V) and industrial Vehicle-to-Infrastructure plus Sensor (iV2I+). These datasets capture real-world sidelink communication scenarios between moving AGVs and their interactions with fixed infrastructure and sensors, providing an invaluable resource for developing and validating AI-based communication protocols. His most cited work, a 2024 paper detailing these measurement campaigns, has already garnered 15 citations, underscoring its immediate impact on the research community. By bridging the gap between theoretical models and practical deployment, Palaios is laying the foundational data infrastructure necessary for the next generation of smart factories, where reliable, low-latency wireless connectivity is paramount for autonomous coordination and operational efficiency.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
15 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 16

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago