Kaicong Wu

Kaicong Wu
12:45 pm - 2:00 pm
To be held virtually via Zoom
Dr. Eike Schling
Assistant Professor
Department of Architecture
Modelling the Architectural Design Process: Diverging, Converging, and Suppressing
Dr. Kaicong Wu
Assistant Professor
Department of Architecture

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This ongoing research aims to implement a new generative design model, which integrates non-performative evaluations, to compute three-dimensional (3D) architectural forms. In the recent history of design theories and methods (or design thinking), many attempts have been made to use systems analysis to elucidate design processes. Examples of representative models include Horst Rittel’s argumentative process model, Christopher Alexander’s pattern language model, and Béla Bánáthy’s double diamond process model. However, these systems models often rely on a specific decision-making activity – performance-based evaluation. To understand the creative activities in architectural design, we need more complex evaluations. Without evaluating the semantics or non-performative properties of forms, it is difficult for computing systems to achieve human-level design intelligence or creativity exclusively based on performative criteria. Several recent studies, including the presenter’s doctoral dissertation, have demonstrated the possibility of using artificial neural networks to evaluate the non-performative properties of architectural forms, such as geometric features, compositions, materiality, and styles. This project extends the presenter’s previous research and will contribute with an alternative model, implemented using neural network computation and multi-objective evolutionary solvers to generate 3D architectural forms. It will provide a new way of understanding and expanding the impacts of the semantics of architectural forms on design decision-making.

About the Speaker

Kaicong Wu is an architect, designer, and researcher. He received a PhD in Architecture from Princeton University in 2019. He also holds a Master of Architecture from University of Pennsylvania and a Bachelor of Architecture from Shanghai Jiao Tong University. His current research focuses on architectural design and design technology, especially generative design strategies informed by computation, deep learning, material sensing, and robotic assembly.


Eike Schling is an Assistant Professor at the Department of Architecture, The University of Hong Kong, teaching parametric methods, architectural geometry and structural behavior with the vision of enabling construction-aware design. Eike’s focus lies on interdisciplinary research with mathematicians and engineers to simplify complex lightweight structures without sacrificing their design freedom. Eike completed his doctorate “Repetitive Structures” in 2018 with distinction at the Chair for Structural Design, Technical University in Munich. His architectural practice has produced innovative, strained gridshells in Munich and Ingolstadt. Eike’s has worked with international architecture offices in London, Montreal, Shanghai and Munich PLP Munich.