Tayyaba Tariq

National Yunlin University of Science and Technology

Papers

Total Citations

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About

Dr. Tayyaba Tariq is at the forefront of securing next-generation autonomous systems, with a primary focus on integrating artificial intelligence and neural computing into the fabric of Industry 5.0. Her most cited work, a 2023 study on a neural computing-based access control protocol for AI-driven intelligent flying vehicles, has garnered 40 citations, highlighting its immediate relevance to the burgeoning field of consumer electronics and autonomous robotics. In this landmark paper, Dr. Tariq addresses the critical security challenges posed by drones and intelligent flying vehicles, proposing a novel framework that ensures safe, authenticated communication in complex, AI-driven environments. Her research bridges the gap between advanced neural network architectures and practical, real-world applications in autonomous decision-making and fault diagnosis. By tackling the intersection of cybersecurity, AI, and autonomous mobility, Dr. Tariq’s contributions are shaping the protocols that will underpin the safe deployment of flying vehicles in consumer and industrial settings. Her work is essential reading for researchers and engineers working on the security and reliability of autonomous systems in the evolving landscape of Industry 5.0.