Shabaz Anwaz Sheikh

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About

Shabaz Anwaz Sheikh is a researcher at the forefront of integrating fuzzy logic, MEMS (Micro-Electro-Mechanical Systems), and artificial intelligence to revolutionize railway safety. His work addresses a critical, life-saving problem: the inherent limitations of traditional train braking systems, which require up to a mile to stop due to low friction between iron wheels and tracks. Sheikh’s major contribution lies in developing intelligent, proactive safety devices that detect obstacles—whether humans, animals, or objects—on the track well in advance. His most-cited paper, "Train Accident Prevention using Fuzzy Logic Based MEMS System" (2021, 20 citations), introduces a vacuum-assisted brake system triggered by fuzzy logic processing of MEMS sensor data, enabling faster, more reliable emergency stops. Complementing this, his "Novel Robotics and MEMS Artificial Intelligence based Train Safety Device" (2021, 16 citations) tackles the specific dangers of unmanned railway crossings and suicides on tracks, offering a robotic-AI solution to prevent these tragedies. Together, these works represent a paradigm shift from reactive to predictive safety in rail transport, showcasing Sheikh’s impact in applying intelligent systems to critical infrastructure. His research is a vital step toward zero-accident railways.