Hasan Mir

Papers

Total Citations

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About

Hasan Mir is a researcher at the forefront of integrating robotics and artificial intelligence for critical infrastructure monitoring. His primary research areas include deep learning, autonomous unmanned ground vehicles (UGVs), and non-destructive leak detection in water distribution networks. Mir’s most notable contribution is the development of a robotic system equipped with advanced sensors and deep learning algorithms capable of autonomously identifying underground pipeline leaks—a challenge that causes significant economic and environmental damage worldwide. His pioneering work, "Employing Robotics and Deep Learning in Underground Leak Detection" (2023), has already garnered 14 citations, underscoring its immediate relevance to the fields of civil engineering and intelligent systems. By combining real-time environmental sensing with machine learning, Mir’s approach offers a scalable, cost-effective alternative to traditional manual inspection methods. His research not only advances autonomous robotics but also provides practical solutions for sustainable water management, making him a rising voice in the intersection of AI and infrastructure resilience.