People

Sean Hanna

RCUK Academic Fellow: Space and Adaptive Architectures

Personal website

Research

Sean’s current research is in structural optimisation and digital manufacturing technology, and developing computational methods for dealing with complex systems in architecture. The main body of investigation over the past four years has been the application of machine learning and optimisation techniques in the design of architecture, focusing specifically on two example problems: structural space frames and the layout of spaces for given social networks. Publications address the fields of artificial intelligence, collaborative creativity, robotics and the optimisation of structures and materials.

Teaching

Sean currently teaches on the MSc Adaptive Architecture and Computation, leading the Generative Space Form and Behaviour module and lecturing on the Introduction to Adaptive Architecture and Computation. He also organises and tutors workshops on parametric modelling. In the spring and summer terms, Sean supervises dissertation projects from both the MSc AAC and Bartlett Diploma programmes.

Background

Sean’s background is initially in design, and he holds a BES degree in Environmental Studies and a professional Architecture degree from the University of Waterloo in Canada. His application of design algorithms, structural optimization and parametric design has included projects with architects Foster and Partners and sculptor Antony Gormley. He has also studied intelligent systems and virtual environments at UCL, and is a candidate for an Engineering Doctorate in Visualization, Imaging and Virtual Environments.