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About Aydin
Professor Aydin Nassehi serves as Professor of Production Systems and Head of School in the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol. He holds BSc, MSc, MSc, and PhD degrees. His academic career at the University of Bristol includes prior roles such as Reader in Manufacturing Systems. Nassehi is actively involved in research projects, having served as Principal Investigator for 'Designing the Future: Resilient Trans-Disciplinary Design Engineers' from 2017 to 2022 and as Co-Investigator for 'ProtoTwinning: Digital Physical Twinning in Product Development' from 2018 to 2023. He has also contributed to datasets, including 'The Prototype Taxonomised' in 2021 and 'The creation of a neural network based capability profile to enable generative design and the manufacture of functional FDM parts' in 2020. As a CIRP associate member, he engages with the international manufacturing research community.
Nassehi's research specializations encompass Smart Manufacturing Systems, Agent-Based Manufacturing Planning and Control, and AI in Manufacturing. His expertise includes Agent-Based Modelling, Manufacturing, Computer Aided Process Planning, and Manufacturing System Optimisation, with additional focus areas such as CAM, CNC, Agents, and Interoperability. He has produced 165 research outputs, comprising 78 articles, 69 conference contributions, 9 chapters, and others. Key publications include 'Energy efficient process planning for CNC machining' by Newman, Nassehi et al. in CIRP Journal of Manufacturing Science and Technology (2012), 'A large manufacturing decision model for human-centric decision-making' by Li, Nassehi et al. in CIRP Annals (2025), and 'Toward Reliable and Functional FDM: Mapping Performance Barriers and Technological Enablers' by Al Amri, Goudswaard, and Nassehi in Journal of Physics: Conference Series (2026). His work has accumulated over 8,146 citations on Google Scholar. Nassehi contributes editorially as a Senior Editor for the International Journal of Computer Integrated Manufacturing and participates in research groups such as Engineering Education Research Group and Engineering Systems and Design.
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