Md Junayed Hasan

Green Chemistry, Robert Gordon University

Papers

Total Citations

H-Index

About

Md Junayed Hasan is a leading researcher at the forefront of underwater robotics and autonomous systems, with a particular focus on enabling full machine autonomy in challenging subsea environments. His work bridges critical gaps in robotic perception and navigation, addressing the fundamental limitations of underwater vision caused by light attenuation, backscattering, and low-light conditions. Hasan’s major contributions include pioneering the use of promptable segmentation models for sonar image analysis, as demonstrated in his 2024 work on applying the Segment Anything Model (SAM) to distance measurement in subsea robotics. His 2025 review on full autonomy in underwater systems has quickly garnered attention, establishing a roadmap for reducing human intervention in deep-sea exploration, environmental monitoring, and subsea infrastructure maintenance. With both of his most-cited papers accumulating 5 citations each in a short span, Hasan’s work is already shaping the next generation of autonomous underwater vehicles. His research promises to revolutionize how robots perceive and interact with the ocean depths, making him a rising voice in marine robotics and artificial intelligence.