Team

	Andrew Sherlock, Prof, is the Director of Data-driven Manufacturing at the National Manufacturing Institute Scotland (NMIS) and Professor of Practice at the University of Strathclyde. In 2006 he founded ShapeSpace Ltd, a spin-out from the University of Edinburgh, to commercialise 3D search-by-shape technology, initially developed as a 3D search engine for components and subsequently enhanced to allow analysis of assemblies. This technology has been deployed at a number of large manufacturers in automotive, aerospace and industrial equipment industries where the ability to do analytics on component portfolios and large numbers of bills of materials has uncovered significant cost savings within the supply chain. In 2020 he founded EdAR (Software) Ltd another spin-out from the University of Edinburgh, applying augmented reality to educational materials for engineering, medicine and other STEM subjects. Between 2016 and 2019 he was the Royal Academy of Engineering (RAEng) Visiting Professor in Design for Product Profitability and from 2020 to 2021 as Industrial Chair of Data-driven Manufacturing, both at the University of Edinburgh.   Twitter: @drewsherlock Linkedin Andrew Sherlock Research Interests: Mechanical Engineering and Mechanical design Materials and Manufacturing Advanced CAD/CAM Visualization in Augmented and Virtual Reality (Immersive Analytics)
	Jonathan Corney, Prof, Professor Jonathan Corney, School of Engineering, University of Edinburgh: Is Professor of Digital Manufacturing and has been PI on over £1.8 Million of EPSRC funded research. He has published two books and over 80 papers on various aspects of CAD/CAM and advanced manufacturing. His career started at Heriot-Watt University where he worked on geometric modelling, feature recognition and shape search systems. In 2007 he moved to Strathclyde as Professor of Design and Manufacture where he investigated manufacturing applications of crowdsourcing; Internet cloud interfaces for manufacturing and systems for interactive search of digital media.   For further details see ResearchGate and Google Scholar profiles. Researchgate: Jonathan R. Corney Google Scholar: Jonathan R. Corney Research Interests: Industrial AI & ML Predicitve CAD Crowdsourcing Materials and Manufacturing Advanced CAD/CAM Network Visualization
	Danai Korre, PhD, is an Associate Lecturer in Data Science for Manufacturing at the School of Engineering, University of Edinburgh. Prior to this, she served as a Research Associate in Augmented Reality at the same institution from April 2020. She is an established and versatile researcher with over 10 years of experience in data science, conversational user interfaces, user experience (UX) research and educational technology (EdTech). Throughout her career, she has been the recipient of several grants and awards, highlighting her dedication and contributions to her field. Notable grants include the Principal's Teaching Award for "Computational thinking in data science: Strategies for Effective Learning" in 2023 and the Bayes Seed Funding for "Industrial Datasets for Upskilling the Manufacturing Workforce" in the same year. She has actively participated in professional activities, scientific workshops, and conferences, where she has presented her research findings and engaged with the academic community. Additionally, Danai has made significant contributions as a teacher and supervisor, sharing her knowledge and expertise with students at various levels.   Twitter: @danaikorre Linkedin Danai Korre Research Interests: Human-oriented artificial intelligence Data Science Visualization in Augmented and Virtual Reality (Immersive Analytics) Immersive technologies (VR/AR/MR) Serious games Embodied, conversational and pedagogical agents Usability engineering
	Special thanks to Dr Benjamin Bach, Lecturer in Design Informatics and Visualization.