Des Fagan
Head of Architecture at Lancaster, my field of research interest is in Optimisation and Deep Learning (Artificial Intelligence) for Decision Support Systems in design. I am particularly interested in the impact that Machine Learning will have on design processes and the regulatory and policy implications for the RIBA and ARB.
My roles in the field of AI and Architecture include member of the Expert Advisory Group on Data and AI in Practice (RIBA), and Lead of the Working Group on AI in Architectural Education (SCOSA) where I lead a network of industry partners including Autodesk, to guide the future integration of AI across UK practices and teaching across all 65 Schools of Architecture. I am also an Expert in Residence at the Turing Institute.
Prior to working in academia, I worked on several international award‐winning projects, including as Project Architect for the London Olympic Village 2012 and for Glasgow Transport Museum at Zaha Hadid Architects, winner of European Museum of the Year 2013.
I am currently working on a UKRI funded project: AILab: Artificial Intelligence in Low Carbon Building with Eden Project and Grimshaw Architects, to realise the advantages of Machine Learning for low carbon construction of Eden Morecambe.