Aritrik Ghosh
Papers
1
Total Citations
2
H-Index
1
About
Aritrik Ghosh is a leading researcher in underwater acoustics and autonomous systems, with a primary focus on advancing synthetic aperture sonar (SAS) technology for high-resolution seafloor imaging. His most cited work, "Sparse is Fast: Accelerating Synthetic Aperture Sonar via Reduced Sampling" (2025), addresses a critical bottleneck in deep-sea exploration: the trade-off between imaging speed and data volume. By introducing sparse sampling techniques, Ghosh demonstrates how AUVs can achieve rapid, high-fidelity sonar imaging while drastically reducing computational and energy demands—a breakthrough for real-time marine monitoring, subsea infrastructure inspection, and defense applications. His contributions have already garnered early recognition, with 2 citations in a nascent field, signaling growing impact. Ghosh’s research bridges signal processing, machine learning, and robotics, enabling autonomous vehicles to operate more efficiently in data-limited environments. His work is particularly vital for deep-sea missions where bandwidth and power are constrained, positioning him as a rising authority in accelerating underwater sensing. For students and researchers, Ghosh exemplifies how innovative algorithmic approaches can transform practical challenges in ocean exploration and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1