Supun Kamburugamuve
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
Top Papers
- 1A Framework for Real Time Processing of Sensor Data in the Cloud42 citations · 2015
- 2Cloud based Real-time Multi-robot Collision Avoidance for Swarm Robotics25 citations · 2016
- 3Towards High Performance Processing of Streaming Data in Large Data Centers20 citations · 2016
- 4Cloud-based Parallel Implementation of SLAM for Mobile Robots20 citations · 2016
- 5High Performance Processing of Streaming Data3 citations · 2015