Eitzaz ul Haq

Papers

Total Citations

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About

Eitzaz ul Haq is a researcher whose work sits at the intersection of embedded systems, artificial intelligence, and autonomous navigation. His most cited contribution, "Microcontroller Based Neural Network Controlled Low Cost Autonomous Vehicle" (2010, 22 citations), demonstrates a pioneering approach to making autonomous vehicle technology more accessible. In this work, he designed a low-cost autonomous vehicle that leverages neural networks for navigation in unknown environments, integrating four ultrasonic sensors for obstacle detection, a wheel encoder for distance measurement, and a compass for heading information—all controlled by a microcontroller. This project exemplifies his ability to combine practical hardware implementation with intelligent software algorithms, addressing real-world constraints like cost and resource limitations. By demonstrating that neural network control could be effectively deployed on modest microcontroller platforms, Haq’s research has provided a foundation for budget-friendly autonomous systems, influencing subsequent work in mobile robotics and embedded AI. His contributions highlight a commitment to democratizing advanced technologies, making them viable for educational, research, and industrial applications where high-end computing resources are not available.