Zaeem Shabbir

Pakistan Army, National University of Sciences and Technology

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About

Zaeem Shabbir is a robotics and aerospace researcher whose work bridges the gap between micro-scale flight dynamics and agile ground-based robotics. His primary research areas include micro air vehicle (MAV) design, low Reynolds number aerodynamics, and intelligent control systems for unstable robotic platforms. Shabbir’s most notable contribution is his pioneering work on the aerodynamic design and full-scale fabrication of a MAV, addressing the critical challenge of applying conventional aerodynamics to small-scale vehicles operating at extremely low Reynolds numbers. This work, published in 2014, has garnered 3 citations and lays foundational groundwork for future MAV development. Additionally, Shabbir has advanced mobile robotics through his 2016 study on controlling a ball-bot—an inherently unstable, agile platform—using a neural network trained by particle swarm optimization (PSO). By modeling the ball-bot as two decoupled pendulum-on-cart systems, he developed a specialized controller capable of high-speed maneuvering, earning 2 citations. Shabbir’s research demonstrates a unique ability to tackle complex, interdisciplinary challenges in both aerial and ground robotics, making him a promising figure in autonomous systems engineering.