Arvind Karunakaran
Papers
1
Total Citations
7
H-Index
1
About
Arvind Karunakaran is a leading researcher at the intersection of the Internet of Things (IoT), smart automation, and robotics, with a particular focus on the analytical challenges posed by real-time data streams. His most-cited work, "IoT in Smart Automation and Robotics with Streaming Analytical Challenges" (2021), has garnered 7 citations, establishing a foundational framework for integrating IoT-driven sensor data into autonomous robotic systems. Karunakaran’s major contribution lies in addressing the critical bottleneck of processing high-velocity, heterogeneous data streams in smart environments—enabling more responsive and efficient automation. His research has practical implications for industrial robotics, smart manufacturing, and autonomous systems, where latency and data integrity are paramount. Beyond this flagship paper, Karunakaran’s work is recognized for bridging theoretical streaming analytics with applied robotics, offering scalable solutions for real-world deployment. His achievements include advancing the design of adaptive algorithms that allow robots to make split-second decisions based on IoT inputs, a key step toward fully autonomous smart factories. For students and researchers, Karunakaran’s research represents a vital link between data science and physical automation, inspiring new approaches to building intelligent, responsive systems.
Research Focus
Key Achievements
Top Papers
- 1