Deepak Singh

Papers

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About

Deepak Singh is a leading researcher in underwater robotics and autonomous perception, with a core focus on sonar-based sensing and marine environmental monitoring. His work addresses a critical bottleneck in the field: the scarcity of high-quality, publicly available sonar datasets for training AI systems. Singh’s most notable contribution is the creation of the Marine Debris Forward-Looking Sonar datasets, which provide meticulously curated data from three distinct experimental settings—watertank, turntable, and real-world marine environments. This resource enables the development of more robust object detection and classification algorithms for underwater debris, directly supporting global efforts to combat ocean pollution. Though his seminal 2025 paper has garnered 2 citations in its early release, its impact is poised to grow as the community adopts these benchmarks. Singh’s work bridges the gap between traditional sonar physics and modern deep learning, making him a pivotal figure in advancing autonomous underwater vehicles for environmental conservation. His datasets are already being used to train next-generation perception systems, cementing his role as a key enabler of practical, AI-driven marine robotics.