Sindhu Kolli
Papers
1
Total Citations
5
H-Index
1
About
Sindhu Kolli is a researcher focused on computational crowd management and multi-agent systems, with a particular emphasis on safety in high-density public spaces. Her most cited work, "MAMA: multi-agent management of crowds to avoid stampedes in long queues" (2013, 5 citations), addresses a critical real-world problem: preventing stampedes in places of reverence where large crowds gather for brief individual interactions. This paper proposes a multi-agent framework to dynamically manage queue flows, reducing the risk of deadly crushes that have historically caused significant loss of life and trauma. By simulating agent-based coordination, Kolli’s research offers a proactive, technology-driven solution to a persistent humanitarian challenge. Her contributions lie at the intersection of artificial intelligence, public safety, and event logistics, demonstrating how computational models can mitigate risks in uncontrolled environments. Though her citation count is modest, the practical implications of her work—potentially saving lives in pilgrimage sites, stadiums, and festivals—underscore its societal value. Kolli’s research exemplifies how multi-agent systems can transform crowd management from reactive crisis response to intelligent, preemptive control.
Research Focus
Key Achievements
Top Papers
- 1MAMA: multi-agent management of crowds to avoid stampedes in long queues5 citations · 2013