V. Sridhar
Papers
2
Total Citations
6
H-Index
2
About
V. Sridhar’s research sits at the intersection of medical imaging, robotics, and real-time data communication, with a focus on solving practical challenges in bandwidth-constrained environments. In their most-cited work, “Computational Modelling of Image Coding using ROI based Medical Image Compression” (2014, 4 citations), Sridhar tackled the critical issue of compressing medical images for digital communication and robotic transmission—essential for robot-guided surgeries and telemedicine. This study proposed a region-of-interest (ROI) approach to preserve diagnostic quality while reducing data size, addressing a key bottleneck in modern healthcare. More recently, Sridhar’s 2024 paper “Integration of ROS and Gazebo Platform using MAVLINK Protocol for Real-Time UAV Applications” (2 citations) demonstrates a shift toward low-cost, real-time data collection for unmanned aerial vehicles. By integrating the MAVLink protocol with ROS and Gazebo, this work provides a scalable framework for testing autonomous systems, enabling researchers to simulate and gather sensor data efficiently. Though early in citation impact, this contribution highlights Sridhar’s versatility in bridging medical and robotic domains, offering practical tools for students and engineers working on constrained-bandwidth applications.
Research Focus
Key Achievements
Top Papers
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- 2