Immanuel Stanley

Sathyabama Institute of Science and Technology

Papers

Total Citations

H-Index

About

Immanuel Stanley is a researcher whose work sits at the intersection of artificial intelligence and emergency management, with a particular focus on swarm intelligence for disaster recovery. His most-cited paper, "Swarm Intelligence in Disaster Recovery" (2021), has garnered 11 citations and addresses a critical challenge: the unpredictable, volatile nature of disasters—whether natural or accidental—and the immense destruction they leave behind. Stanley’s key contribution lies in proposing decentralized, bio-inspired algorithms that enable swarms of autonomous agents to coordinate search-and-rescue operations in chaotic environments where traditional infrastructure fails. By modeling collective behavior after social insects, his approach enhances efficiency in locating survivors and assessing damage, offering a scalable solution for first responders. Though his citation count is modest, the work is notable for its timely application to real-world crises, bridging theoretical AI with urgent humanitarian needs. Stanley’s research continues to push boundaries in adaptive systems, making him a promising voice in the growing field of AI-driven disaster response.