Fahad Arif
Papers
1
Total Citations
72
H-Index
1
About
Fahad Arif is a robotics researcher whose work lies at the intersection of mechanical design, sensor systems, and intelligent control, with a primary focus on pipeline inspection and leak detection for the oil and gas industry. His most-cited paper, "An In-Pipe Leak Detection Robot With a Neural-Network-Based Leak Verification System" (2018, 72 citations), introduces a custom-designed robot tailored for pipes of 0.203 meters in diameter. This robot integrates onboard pressure sensors for leak detection and features a propeller-driven propulsion system, but its key innovation is the use of a neural network to verify leaks, reducing false positives and improving reliability. Arif’s contributions advance the automation of critical infrastructure monitoring, offering a practical solution for early leak detection that can prevent environmental damage and economic loss. His work demonstrates a strong command of both hardware design and machine learning, making his research highly relevant for students and engineers interested in field robotics, smart sensing, and industrial automation.
Research Focus
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Top Papers
- 1