Sampurna Mandal
Papers
1
Total Citations
26
H-Index
1
About
Sampurna Mandal is a researcher at the forefront of computer vision and autonomous systems, with a particular focus on real-time object detection for unmanned aerial vehicles (UAVs). Her most-cited work, "Single shot detection for detecting real-time flying objects for unmanned aerial vehicle" (2021), has garnered 26 citations, showcasing her contribution to efficient, high-speed detection algorithms that enable drones to identify and track moving objects in dynamic environments. This research addresses critical challenges in aerial surveillance, search-and-rescue, and autonomous navigation, where low-latency and accuracy are paramount. Mandal’s approach leverages single-shot detection frameworks, reducing computational overhead while maintaining robust performance—a breakthrough for resource-constrained UAV platforms. Beyond this flagship paper, her work spans deep learning architectures and edge computing, bridging the gap between theoretical advances and practical deployment. Her achievements highlight a commitment to solving real-world problems, making her a rising voice in the field of intelligent aerial robotics. For students and researchers, Mandal’s research offers a clear example of how computer vision can be tailored for the unique demands of autonomous flight, inspiring further exploration into lightweight, real-time detection systems.
Research Focus
Key Achievements
Top Papers
- 1