Bill Murari

Dr Bill Murari

Research Fellow

School of Mathematical Sciences

College of Science

Available For Media Comment.


Dr. Bill Murari specialises in applying machine learning to solve complex problems in aerospace and mechanical engineering. His research focuses on using AI - driven modelling and optimisation techniques to predict the behaviour of advanced composite materials, supporting the development of more sustainable and efficient engineering solutions. With a background in aerospace engineering and a PhD in Mechanical Engineering, Dr. Murari brings together expertise in structural analysis, computational modelling, and AI applications. He has worked across academia and industry, developing innovative tools and simulations that streamline processes and improve design outcomes. At the core of his work is a commitment to bridging engineering fundamentals with intelligent automation - empowering innovation through data-driven, machine learning approaches.

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