About
The Gen AI for Design Workshop brings together researchers in Design, Architecture, Computer Science, Mechanical Engineering, Music, and other related fields to shape future research in generative AI, focusing on performance-based design—an approach that prioritizes achieving specific measurable outcomes in areas like structural integrity, energy efficiency, acoustic performance, material optimization, airflow dynamics, lighting quality, and real-time responsiveness in interactive systems.
The topics can include AI-driven optimization in design processes, generative methods for sustainable architecture, acoustics, lighting, immersive environments for gaming, AI-assisted creativity in music and sound design, multi-disciplinary applications of machine learning in design, human-AI collaboration in creative fields, AI-driven code generation for complex system designs, AI-enhanced user interface and user experience (UI/UX) design, algorithmic generation of virtual and augmented reality environments, and any other topic related to performance-based design. Both in-progress projects and published research are allowed.