Tayba Asgher

Papers

Total Citations

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About

Tayba Asgher is a researcher whose work bridges artificial intelligence, autonomous systems, and human-machine interaction. Her primary research interests lie in the development of intelligent decision-making frameworks for self-driving vehicles, with a particular focus on trust modeling and safety in autonomous transportation. Asgher’s most cited paper, “Virtual Trust on Driverless Cars Using Fuzzy Logic Design” (2022), introduces a novel fuzzy logic-based approach to quantify and enhance public trust in autonomous vehicles—a critical barrier to widespread adoption. This work, with 5 citations, demonstrates her ability to address real-world challenges by combining computational intelligence with human factors. By designing systems that mimic human reasoning, Asgher contributes to making driverless cars more reliable and socially acceptable. Her research not only advances technical capabilities but also explores the societal implications of automation, positioning her as a thoughtful voice in the future of mobility. For students and researchers, Asgher’s work offers a compelling example of how fuzzy logic and human-centered design can solve pressing problems in emerging technologies.