Taki Uddin
Papers
1
Total Citations
3
H-Index
1
About
Taki Uddin’s research lies at the intersection of the Internet of Things (IoT), swarm robotics, and disaster management. His most-cited work, “Design, control & performance analysis of forecast junction IoT and swarm robotics based system for natural disaster monitoring” (2017), introduces an integrated mobile, web, and swarm robotics platform designed to address climate-related hazards. The system enables real-time environmental monitoring and rapid response to sudden climatic changes, supporting sustainable human settlement planning. With 3 citations, this paper reflects Uddin’s early, focused contribution to leveraging autonomous robotic swarms and IoT connectivity for disaster resilience. His work is notable for bridging theoretical control design with practical performance analysis, offering a scalable framework for hazard detection and mitigation. Uddin’s research is particularly relevant for students and engineers exploring cyber-physical systems in emergency contexts. By combining swarm intelligence with forecast-based IoT architectures, he provides a blueprint for proactive, rather than reactive, disaster management—an approach that continues to inspire innovations in smart city infrastructure and climate adaptation technologies.
Research Focus
Key Achievements
Top Papers
- 1