About
Hanif Bhuiyan is a Researcher at Queensland University of Technology (QUT), specializing in the intersection of autonomous vehicles, traffic law compliance, and machine learning. He completed his PhD in 2023 with a focus on automated vehicle law compliance. His work spans legal informatics, transportation safety, and optimization algorithms, often collaborating with institutions like the Institute of Electrical and Electronics Engineers (IEEE) and JURIX. Key research areas include autonomous vehicle validation, crash severity analysis using alternative data sources, and quantum computing architectures.
His publications address topics such as regulatory rule encoding using deontic logic, deep neural networks for classification, and multi-objective transportation problems in fuzzy environments. Bhuiyan's contributions bridge computer science, legal frameworks, and engineering, with a focus on real-world applications like healthcare AR systems and low-power circuit design.
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