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Biography
Dr. Sara Zi Wang is an Assistant Professor in Mechanical Design and Solid Mechanics at the University of Nottingham. She teaches across both aerospace and mechanical engineering programmes, including MMME1031 - Aerospace Statics and Dynamics and MMME2044 - Design, Manufacture and Project.
She is also part of the Omnifactory Research Group, and her research focuses on the circular design of aerospace components and tooling, with expertise in automated design, layout optimisation of robotic cells, digital twin technologies, machine learning for design optimisation, photogrammetry and aeroelasticity. She has collaborated with leading industrial partners such as Airbus, BAE Systems, GKN Aerospace, and Siemens, developing advanced design frameworks that integrate automation, sustainability, and reconfigurability.
She welcomes inquiries from motivated students interested in pursuing a PhD in the topics of Circular Design, Design for Disassembly, Flexible Assembly Systems, and Industrial Robotics with the application of AI and Machine Learning techniques.
Research Summary
Dr. Wang's current research focuses on the circular design of aerospace components and tooling, with a strong emphasis on digital twin technologies and layout optimisation of robotic cells. Her work… read more
Current Research
Dr. Wang's current research focuses on the circular design of aerospace components and tooling, with a strong emphasis on digital twin technologies and layout optimisation of robotic cells. Her work develops intelligent frameworks that integrate automation, sustainability, and reconfigurability, enabling next-generation aerospace manufacturing systems.
I welcome enquiries from highly motivated students interested in pursuing a PhD in the topics of Circular Design, Design for Disassembly, Flexible Assembly Systems, and Industrial Robotics with the application of AI and Machine Learning.
Past Research
Her past research centred on aeroelastic modelling and vibration analysis of aircraft structures, as well as the development of reconfigurable manufacturing systems and smart assembly solutions. She has collaborated with leading aerospace partners, advancing methods in automation, metrology-assisted systems, and digital twin-enabled optimisation.