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About the author
Dr Abanda is a Reader in Construction Informatics and conducts research with the Oxford Institute for Sustainable Development in Oxford Brookes University. He is a Chartered Engineer, holds an HDR in Digital Construction Technology (Institut National Polytechnique de Toulouse, France) and a PhD in Construction IT (Oxford Brookes University, UK). His teaching and research interests are: the Semantic Web, BIM, Data Science, Artificial Intelligence, Machine and Deep Learning and Digital Twins applications in constructionDr Adukpo is a Lecturer in Commercial and Value Management and the Deputy Programme Leader for the MSc Construction Project Management at the University College London (UCL) where he is involved with teaching, research and knowledge transfer in the domain of construction project management. Dr Adukpo’s research interests are primarily in the areas of Infrastructure Project Delivery, Project Owner and Operator Capabilities for procuring and delivering projects, Governance of Projects, Organisational Design, Digital Capabilities for Client Organisations, Sustainability, and Policy Implications in the construction industryDr Akintola is a Senior Lecturer in Quantity Surveying and Commercial Management and conducts research with the Oxford Institute for Sustainable Development at Oxford Brookes University and is a member of the Smart Construction and Impact Assessment (SC&IA) research group at Oxford Brookes University. He is a Chartered Construction Manager (MCIOB) and Surveyor with a PhD in Construction Informatics (Witwatersrand, SA). His teaching and research interests are BIM, Procurement, Semantic Web and Data Science, Cost and Value Management, Professional Identity and Critical/Theoretical Analysis of Social Phenomena in ConstructionDr Abdul-Majeed Mahamadu is an Associate Professor of Innovative and Industrialized Construction at the Bartlett School of Sustainable Construction, University College London (UCL). His research expertise spans digitalization as well as application of data-driven processes for managing construction project delivery
