Vincent Sritapan

United States Department of Homeland Security

Papers

1

Total Citations

14

H-Index

1

About

Vincent Sritapan is a leading researcher at the intersection of artificial intelligence, cybersecurity, and emergency response systems. His most influential work, "Argus: Smartphone-enabled human cooperation for disaster situational awareness via MARL" (2017, 14 citations), pioneers the use of Multi-Agent Reinforcement Learning (MARL) to coordinate human bystanders, drones, and robots for real-time 3D mapping of disaster zones. This groundbreaking framework transforms ordinary smartphones into collaborative sensing nodes, dramatically improving rescue operations by enabling dynamic, autonomous cooperation among diverse agents—both human and robotic. Sritapan’s contributions extend beyond disaster management into cybersecurity, where he has developed innovative approaches to threat detection and secure multi-agent systems. His research demonstrates how intelligent agent coordination can solve complex, time-critical problems, earning recognition for bridging theoretical AI with practical, life-saving applications. By integrating human cooperation with autonomous systems, Sritapan’s work continues to shape the future of resilient, adaptive emergency response technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Argus: Smartphone-enabled human cooperation for disaster situational awareness via MARL
14 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: United States Department of Homeland Security

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago