Sourya Dipta Das

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About

Sourya Dipta Das is an emerging researcher in the field of 3D data processing and computer vision, with a focus on LiDAR-based point cloud analysis. His work addresses one of the fundamental challenges in autonomous systems and remote sensing: efficiently extracting meaningful geometric structures from raw, unstructured 3D data. His most recognized contribution, "Fast Geometric Surface Based Segmentation of Point Cloud from Lidar Data" (2019), proposes an approach to rapidly identify and isolate surfaces within LiDAR-generated point clouds — a critical step in applications ranging from autonomous vehicle navigation to robotics and urban mapping. The paper has garnered 5 citations, reflecting growing interest from the research community in scalable and computationally efficient segmentation methods. Das's work sits at the intersection of geometric computing, machine perception, and sensor data interpretation, areas that are increasingly vital as real-world deployment of autonomous systems accelerates. While still early in his research career, his contributions signal a strong foundation in developing practical algorithms that bridge the gap between raw sensor output and actionable geometric understanding.