Julie Jupp
Associate Professor Digital Engineering at University of Technology Sydney & Australasian BIM Academic Forum
About Speaker
Dr Julie Jupp is Associate Professor of Digital Engineering at the University of Technology Sydney (UTS) in the Faculty of Engineering and IT. Julie’s research, teaching and professional interests lie in the creation of a smart, resilient and sustainable built environment. As an interdisciplinary academic, Julie works in the cross-cutting fields of digital engineering that link model-based design and construction with intelligent operations and maintenance, resulting in smart built environments. Research impacts originate from innovative contributions to the theory and praxis of sustainability, with the goal being to advance data-driven processes, and inform the policy and practice of smart property development, construction and operations. As the co-founder and Director of Research for the not-for-profit International Intelligent Building Organisation (IIBO), Julie aims to make a difference and help industry push the frontiers of digital building capabilities. In this role Julie is leading the development of the Intelligent Building (IB) Index, a multi-criteria performance assessment method for measuring the intelligence of smart buildings and precincts. Julie is also an active member of a number of academic and industry committees, including the Technical Education Committee in the Australasian BIM Advisory Board (ABAB), a core member of the BIM Excellence (BIMe) Initiative, SYDBIM Consortium, and Intl. Federation for Information Processing’s PLM Working Group (WG 5.1). In the Faculty of Engineering and IT, Julie is teaching studio-based and industry-engaged courses on Digital Engineering and BIM, including under- and postgraduate subjects in 3D modelling, model-based co-ordination, 4D construction scheduling and simulation, and BIM management. Julie has published in the fields of design science, engineering design, BIM, through-life knowledge and information management, multidisciplinary design optimisation, and artificial intelligence.