Supun Kamburugamuve

Indiana University Bloomington

Papers

5

Total Citations

110

H-Index

4

About

Supun Kamburugamuve is a leading researcher in cloud computing, the Internet of Things (IoT), and real-time data processing, with a focus on enabling computationally intensive applications for resource-constrained devices. His major contributions center on developing frameworks that offload complex tasks from smart devices and mobile robots to cloud infrastructures, thereby enhancing mobility and performance. His most cited work, "A Framework for Real Time Processing of Sensor Data in the Cloud" (42 citations), introduces IoTCloud, a scalable platform that connects devices to cloud services for real-time data analysis via messaging. He has also pioneered cloud-based solutions for swarm robotics, proposing a multi-robot collision avoidance system (25 citations) and a parallel implementation of SLAM for mobile robots (20 citations), both of which leverage cloud computing to overcome hardware limitations. Additionally, his research on high-performance streaming data processing in large data centers (20 citations) addresses the growing computational demands of IoT and dynamic data-driven application systems. With over 110 total citations, Kamburugamuve’s work is highly influential in advancing real-time, cloud-integrated systems for robotics and sensor networks.

Research Focus

Key Achievements

4
H-Index
5
Papers
110
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
A Framework for Real Time Processing of Sensor Data in the Cloud
42 citations · 2015
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Indiana University Bloomington

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago