Mohammed A. Alqarni

Papers

Total Citations

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About

Mohammed A. Alqarni is a robotics and control systems researcher whose work bridges autonomous navigation and secure aerial networks. His most impactful contribution is the development of a robust control architecture for Two-Wheeled Self-Balancing Robots (TWSBR), where he introduced a Proportional-Derivative Proportional-Integral (PD-PI) controller integrated with a 32-bit microcontroller. This design, published in 2019 and cited 66 times, enables stable, real-time balancing and navigation in sensed environments—a critical advancement for mobile inverted pendulum platforms used in industrial and service robotics. More recently, Alqarni has ventured into cybersecurity for autonomous systems, co-authoring a 2024 study on integrating blockchain technology into UAV ad hoc networks. This work addresses the pressing challenge of securing decentralized aerial swarms against data tampering and spoofing attacks, reflecting his adaptability to emerging threats in autonomous systems. His research trajectory—from foundational control theory to cutting-edge security protocols—demonstrates a commitment to making autonomous platforms both more capable and more trustworthy. Alqarni’s work is particularly relevant for students and engineers developing resilient, self-balancing robots or exploring blockchain-based solutions for drone networks.