2020 Speakers
Kean Walmsley
Generative Design in the AEC space
Kean Walmsley is a Software Architect working on projects that integrate IoT data with BIM (Digital Twins) via the Forge platform. He engages actively in applying Generative Design in the AEC space. He has worked in various roles – and in various countries – during his career at Autodesk, including building and managing teams of software developers in Europe, the Americas, and Asia/Pacific. Kean engages regularly with Autodesk’s developer and computational design communities, providing technical content and insights into technology evolution.
Stanislas Chaillou
Latent Architecture, from Parametric to Semantic
The rise of artificial intelligence opens up new avenues for Architecture and formal research. The study of shapes, architectural forms or typologies can greatly benefit from current generative AI models. Beside the immediate results we are witnessing so far, a broader discussion about the very nature of this incoming technological transition can help us clarify and imagine an immediate future for our discipline: Semanticism. Away from parametric modelling, we are gradually moving towards a richer, more semantic description of Architecture, of its taxonomies and underlying logic. A latent representation of Architecture enables in fact this pivot and forecasts a new era of research and investigations for our discipline.
Prof Dr. Alisa Andrasek
Complex City
In a world that is rapidly converted into information, future cities and buildings will be characterized by enhanced resilience, plasticity, and malleability of complex interrelated systems; in short, increased designability within complex ecologies, allowing for design proposals of unprecedented nature, complexity, and scale. Recognizing that architecture is as fundamentally informational as it is material, Andrasek’s work explores design systems for complexity, necessitated by the increasingly volatile state of the planet, and afforded by the convergence of exponential technologies. Emerging architectures are scientifically altered, co-designed with big data and Ai, at increased resolution and complexity, and rendering previously unseen aesthetics.
Prof Dr. Clayton Miller
Towards Growing the Data Science Community in the Built Environment
Dr. Miller’s goal over the last 15 years has been to encourage built environment professionals to learn how to code. This presentation will help those who agree with this vision to learn or fine tune their own skills as well as methods to convince others. He will discuss the Great Energy Predictor III competition, the biggest building-related machine learning competition ever held with over 2,500 participants, data from thousands of buildings, and US$25,000 in prize money for the top five winners. He will discuss the lessons learned and how the crowdsourced content has sparked an online EDx course focused on getting architects and engineers to code.