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Des Fagan supervises 2 postgraduate research students. If these students have produced research profiles, these are listed below:

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Des Fagan

Head of Architecture

Des Fagan

The LICA Building

LA1 4YW

Lancaster

Tel: +44 1524 593521

Research overview

  • Artificial Intelligence (AI) in Architecture
  • Machine Learning (ML) for Architectural Design
  • Explainability / Interpretability of AI in Architecture and Building
  • Future Regulation of the Architect
  • Decoding A.I for the Architect
  • Parametric Architecture for Design
  • Optimisation Software for Design
  • Bioclimatic / Kinetic Facades
  • Prototyping in Architecture

PhD supervision

Artificial Intelligence (AI) in Architecture Machine Learning (ML) for Architectural Design Social and Ethical Role of the Architect Explianability / Interpretability of AI in Architecture and Building Future Regulation of the Architect Decoding A.I for the Architect Parametric Architecture for Design Optimisation Software for Design Bioclimatic / Kinetic Facades Prototyping in Architecture Dataset Bias Architecture

Additional Information

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.

In mycurrent role as Chair of the National Practice and Policy at the RIBA, I oversee the development of a programme of policy and public affairs activity, representing over forty thousand UK architects, to affect change in Whitehall, Westminster and beyond. 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, Google and OpenAI, to guide the future integration of AI across UK practices and teaching across all 65 Schools of Architecture.

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 (PI- £20k) with the Eden Project and Grimshaw Architects, to realise the advantages of Machine Learning for low carbon construction of Eden Morecambe. I have published two books ‐ ‘UEM’ which reimagines the future of a sustainably eco‐centric City, and ‘Datascape’ – a collaborative research document which records the data activities and exchanges of a city.

Current Teaching

As Head of Architecture, I am responsible for contributing to the ethos, content, quality, and direction of the teaching environment for both the BA (Hons) Architecture and Master of Architecture courses, devising course structures, and writing module descriptors and content for internal and external course approvals and PSRB validation.

I was the UK lead for processes of prescription across all 65 accredited architecture schools as Academic Advisor to the ARB between.  In this nationally significant role, I reviewed course documentation to make recommendations on over 85 architecture courses between 2015-21,

My influence in teaching extends to teaching-related publications in my own field of research.  I am the Leader of the Working Group on AI in Architectural Education at the Standing Council of the Heads of Schools of Architecture (SCHOSA) where I coordinate a group of world-leading academics to produce guidance on the assessment challenges and opportunities for AI integrated with Architectural education for all 65 Schools of Architecture and 21,000 UK students.

 

ARCH401 (PG) 30cr – Conv. - Studio Workshops - (2022-23); (2023-24)

ARCH402 (PG) 30cr – Conv. - Studio Workshops -  (2022-23); (2023-24)

ARCH403 (PG) 20cr – Conv. - Lectures and Seminars -  (2022-23); (2023-24)

ARCH501 (PG) 30cr – Conv. - Studio Workshops - (2023-24) 

ARCH502 (PG) 30cr – Conv. - Studio Workshops -  (2023-24)

ARCH503 (PG) 30cr – Conv. - Lectures and Seminars -  (2023-24)

ARCH202 (UG) 30cr - Conv. - Studio Workshops -  (2021-22)

ARCH203 (UG) 30cr - Conv. - Lectures and Seminars - (2022-23)

ARCH103 (UG) 30cr - Conv. - Lectures and Seminars (2020-21) (2022-23)

Current Research

My current funded research project: AILab: Artificial Intelligence in Low Carbon Building (PI- £20k) with project partners the Eden Project and Grimshaw Architects, will realise the advantages of AI to reduce carbon expenditure in the construction of Eden Morecambe. The project will change the sustainability workflow of Grimshaw Architects and go on to advise HM Government on improved AI-based sustainable procurement frameworks in 2024. 

 

The goal of my research is to highlight our new School of Architecture, and the University more widely, as a destination at the forefront of AI-based research for processes of sustainable optimisation in the Built Environment.

 

In parallel, as  a member of the Editorial Advisory Board for the Construction Innovation Journal, I advise on journal focus and contribute to the review of papers to advance innovation in construction sustainability and productivity. I undertake the review of EPSRC proposals as member of the peer review college, attending panels and providing knowledge and reviews in the area of AI / ML integration with AEC.

 

I have published two books ‐ ‘UEM’ which reimagines the future of a sustainably eco‐centric City, and ‘Datascape’ – a collaborative research document which records the data activities and exchanges of a city.

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