Papers
2
Total Citations
6
H-Index
2
About
Suleman Mazhar is an emerging researcher in the field of underwater robotics and acoustic communication, with a focus on developing cost-effective solutions for challenging aquatic environments. His work centers on two key areas: autonomous navigation systems for shallow freshwater vehicles and advanced signal processing for underwater acoustic channels. In his 2021 study on autonomous navigation, Mazhar explored the integration of Pixhawk and Jetson platforms to create robust mapping and navigation algorithms for low-cost underwater vehicles, addressing the critical challenge of reliable operation in harsh underwater conditions. His 2023 research introduces an innovative approach combining deep neural networks with local mean decomposition to improve underwater acoustic channel estimation, a fundamental requirement for dependable subsea communication. While his citation counts are still developing (4 and 2 citations respectively), his work represents important steps toward making underwater technology more accessible and reliable. Mazhar’s research bridges practical engineering with cutting-edge machine learning, offering promising pathways for students and researchers interested in affordable underwater systems and intelligent signal processing for extreme environments.
Research Focus
Key Achievements
Top Papers
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