AiDAPT Lab

Artificial Intelligence for Design, Analysis, and Optimization in Architecture & the Built Environment

From initial design to life-cycle planning, the creation and operation of the built environment involves a number of complex decisions. These decisions must take into account disparate aesthetic and socioeconomic factors, inevitably intertwined with the impacts of aging and hazards, through data-informed dynamic approaches. This increasing level of complexity has exceeded the limits of existing computational methods used to optimise decisions for structures and infrastructure.

Recent developments in AI offer new opportunities for supporting this complex optimisation process in architectural design and engineering. Big data from the built environment are ubiquitous, in the form of images, videos, and sensory measurements of structural health. Moreover, the computing power for data processing is growing. Harnessing these opportunities, AI provides us with unprecedented capabilities to analyse, optimise and automate the different phases of decision-making in the built environment.

At the AiDAPT Lab, data-driven intelligence and model-based engineering come together to support long-term, adaptive, and evidence-based abstraction and synthesis of structural and architectural choices, towards a more sustainable and resilient built environment. We study and develop state-of-the-art machine-learning and deep learning methods from automatic recognition of visual architectural elements to the dynamic feature extraction, inference, optimisation and autonomous decision-making under uncertainty.

Link to AiDAPT website:
https://www.tudelft.nl/en/ai/aidapt?languageSelect=UK&searchCriteria[0][key]=keywords&searchCriteria[0][values][]=AiDAPT&searchCriteria[1][key]=Resultsperpage&searchCriteria[1][values][]=50

 

Staff:
 

Seyran Khademi
Assistant Professor at the chair of Theory of Architecture and Digital Culture and the co-director of AiDAPT lab.

 

Casper van Engelenburg (PhD Candidate)

The educational path of Casper van Engelenburg crossed the worlds of Applied Physics (BSc - july 2017, TU Delft), Systems and Control (MSc - December 2020, TU Delft), and Computer Science (Thesis and teacher - 2021, TU Delft). The latter, and especially intelligent machines and their relation with people and design truly fascinate him nowadays. Since October 2021, the Digital Culture Group and the AiDAPT lab gave him the opportunity to express this passion as a PhD student, mainly focusing on intersecting artificial intelligence and architectural design. The core of his research is about the development and evaluation of computer vision models, with the aim to provide relevant and interpretable visual analysis and synthesis for the initial design process.