Papers
10
Total Citations
150
H-Index
7
About
Omer Saleem is a control systems and robotics researcher whose work centers on advanced control theory, intelligent adaptive systems, and the stabilization of underactuated robotic mechanisms. His research has made significant strides in developing sophisticated control architectures for inherently unstable systems, particularly inverted-pendulum-type robots, self-balancing platforms, and bio-inspired robotic devices. Saleem's most impactful contribution is his pioneering development of Complex Fractional-Order Linear Quadratic Integral Regulators (CFO-LQIR), which has garnered 49 citations since 2023, establishing him as an emerging authority in fractional-order control design. His work systematically bridges classical optimal control theory with modern computational intelligence, producing hybrid frameworks such as fuzzy-immune adaptive regulators, genetically optimized ANFIS-PID controllers, and phase-based adaptive fractional LQR schemes that collectively demonstrate remarkable robustness against real-world disturbances and parametric uncertainties. Beyond theoretical formulation, Saleem consistently validates his designs through hardware-in-the-loop testing and physical experimentation, reflecting a strong commitment to practical engineering applicability. His earlier foundational work on two-wheeled self-balancing robots and ball-riding robot stabilization laid the groundwork for increasingly sophisticated contributions. With over 150 cumulative citations spanning autonomous lawn-mowing robots, tendon-driven robotic fingers, and underactuated mechatronic systems, Saleem represents a productive and versatile voice in intelligent robotics and control engineering research.
Research Focus
Key Achievements
Top Papers
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- 6Attitude Control and Stabilization of a Two-Wheeled Self-Balancing Robot14 citations · 2015
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- 9Genetically Optimized ANFIS-based PID Controller Design for Posture-Stabilization of Self-Balancing-Robots under Depleting Battery Conditions6 citations · 2019
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