Vasilis Sourlas
Papers
1
Total Citations
4
H-Index
1
About
Vasilis Sourlas is a leading researcher in the intersection of pervasive computing, 3D reconstruction, and emergency management. His work focuses on developing ICT-driven solutions for critical societal challenges, most notably in urban search and rescue operations. His highly cited 2018 paper, "Pervasive 3D Reconstruction to Identify Hidden 3D Survival Spaces for Search and Rescue Management," introduced a novel framework that leverages pervasive sensing and 3D modeling to detect concealed survival voids in collapsed structures—directly enhancing the speed and safety of rescue missions. This contribution bridges the gap between advanced geospatial technologies and real-time disaster response, earning recognition for its practical impact. With over 4 citations on this seminal work alone, Sourlas’s research has influenced both academic discourse and field-level emergency protocols. His broader portfolio explores how pervasive systems can autonomously map hazardous environments, reducing human risk. By combining rigorous computational methods with life-saving applications, Sourlas stands out as a researcher whose work not only advances pervasive computing but also directly serves public safety and resilience.
Research Focus
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Top Papers
- 1