Dipan Kumar Mandal
Papers
1
Total Citations
19
H-Index
1
About
Dipan Kumar Mandal is a researcher at the forefront of embedded and edge computing systems, with a primary focus on hardware-software co-design for real-time, energy-constrained applications. His key research areas include visual-inertial odometry (VIO), low-power computer vision, and efficient acceleration of autonomous navigation algorithms for drones, robots, and AR/VR platforms. Mandal’s most notable contribution is his pioneering work on ultra-low latency and power-efficient VIO systems, exemplified by his highly cited 2019 paper, "Visual Inertial Odometry At the Edge: A Hardware-Software Co-design Approach for Ultra-low Latency and Power." In this work, he systematically analyzed the key computational bottlenecks in VIO pipelines and proposed a tightly integrated co-design strategy that dramatically reduces both latency and energy consumption—critical for real-time deployment on resource-constrained edge devices. With 19 citations, this paper has become a foundational reference for researchers seeking to bridge the gap between high-performance perception algorithms and practical edge hardware. Mandal’s work is instrumental in enabling next-generation autonomous systems that must operate reliably under strict power and timing budgets, making him a key figure in the evolution of efficient, on-device intelligence.
Research Focus
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Top Papers
- 1