Muhammad Shahzad

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Total Citations

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About

Muhammad Shahzad is a researcher focused on the intersection of artificial intelligence, fuzzy logic systems, and autonomous vehicle technology. His most cited work, "Virtual Trust on Driverless Cars Using Fuzzy Logic Design" (2022), addresses a critical barrier to the adoption of self-driving cars: public trust. By applying fuzzy logic—a form of AI that mimics human reasoning under uncertainty—Shahzad developed a framework to model and enhance user confidence in autonomous transportation. This contribution is vital as society transitions toward robotic cars that operate without human interference. With 5 citations, his research is gaining traction among scholars exploring human-AI interaction and vehicular automation. Shahzad’s work not only advances technical solutions but also bridges the gap between cutting-edge engineering and societal acceptance, making autonomous vehicles safer and more trustworthy for everyday use. His insights into how these technologies benefit daily life underscore his commitment to practical, human-centered innovation in the rapidly evolving field of driverless cars.