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... Read more
About me
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.
About me
Doctor of Philosophy Royal Melbourne Institute of Technology
Research
Research outputs for the last seven years are shown below. Some long-standing staff members may have older outputs included. To see earlier years visit ORCID or Scopus
Open access indicates that an output is open access.
Year | Output |
---|---|
2024 |
Open access
17
17
|
2024 |
Open access
8
|
2023 |
Open access
41
42
|
2023 |
Open access
35
34
|
2023 |
52
54
|
External engagement & recognition
Organisation | Country |
---|---|
RMIT University | AUSTRALIA |
Tianjin University | CHINA |
University of Queensland | AUSTRALIA |