Amir Nabil

AmirNabil Headshot small

Awarded VEIV EngD

Adaptive and responsive architecture is an area of research offering a plethora of opportunities to improve the built environment and occupant comfort. Specifically, system learning provides a vehicle by which a user can inadvertently tailor a buildings function according to their needs, wants and natural habits.

I am currently researching artificial neural networks as a means of enabling learning and user control in dynamic shading systems. Artificial neural networks are a computational attempt at mimicking functions similar to that of the human brain. Essentially, the 'brain' receives inputs from the outside world via neurons, processes these inputs via further neurons and acts in response. My research aims to provide solutions which enable environmental conditions to naturally drive a system whilst enabling manual override when necessary through system learning. Its applicability can be translated and applied to various heating, lighting, and ventilation strategies. I am currently sponsored by Modus Services Ltd, provider of multidisciplinary facilities management solutions to the Ministry of Defence main building.


Amir Nabil, Prof Michael Pitt, Dr Sean Hanna, Martha Tsigkari; (2014); Minimising Error: Artificial Neural Network Configurations for a User Overridable Dynamic Shading System; Proceedings of the International Conference on Constructions in a Changing World (German); 12 pages

Cathy M. Natukunda, Michael Pitt, Amir Nabil; (2013); Understanding the outsourcing of facilities management services in Uganda; Journal of Corporate Real Estate, Vol. 15 Iss: 2, pp.150 - 158

Primary Supervisor: Michael Pitt

Industry Sponsor: Modus

Adaptive and Responsive Architecture