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Qunfen Qi is a Senior Lecturer at the University of Bristol, specializing in Smart Manufacturing and Digital Manufacturing. With a solid educational background including a BEng, MSc, and PhD, he is focused on advancing the mathematical foundations of intelligent manufacturing systems through the application of category theory and explainable artificial intelligence (AI). His research aims to enable machines to reason and make decisions in a manner comparable to human experts, addressing the needs for transparency and reliability in manufacturing applications. Qunfen has held several leadership roles, including UKRI EPSRC Innovation Fellow and member of the EPSRC Peer Review College, and has led significant international standards initiatives within the ISO framework. He is passionate about recruiting PhD students interested in mathematical AI, explainable machine learning, and smart manufacturing applications.
University of Bristol • Bristol, UK
Leading research on the role of digital twins in smart manufacturing, focusing on predictive methods and tools.
University of Bristol • Bristol, UK
Developing advanced semantic infrastructure for the digitalisation of manufacturing systems.
University of Bristol • Bristol, UK
Full-field characterization of diamond grinding of brittle materials using industrial computed tomography.
Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.