Ussama Maqbool

National University of Sciences and Technology

Papers

Total Citations

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About

Dr. Ussama Maqbool is a researcher at the forefront of intelligent control systems, with a primary focus on the application of Artificial Neural Networks (ANN) to autonomous aerial robotics. His most cited work, "Neural Network Controller for Attitude Control of Quadrotor" (2019), represents a significant contribution to the field of unmanned aerial vehicle (UAV) stabilization. In this seminal paper, Dr. Maqbool draws inspiration from the complex architecture of the human brain, leveraging the parallel processing and learning capabilities of ANNs to solve the challenging problem of quadrotor attitude control. By demonstrating how neural networks can effectively handle the nonlinear dynamics of flight, his research bridges the gap between biological learning paradigms and practical engineering. With over 4 citations, this work has laid a foundational framework for more adaptive and robust flight controllers. Dr. Maqbool’s broader research interests extend into image association, recognition, and beam forming, showcasing a versatile approach to data processing. His innovative work continues to inspire students and researchers exploring the intersection of bio-inspired computing and autonomous systems.