This document is written to guide the graduate students of design informatics, those working on Generative Design subjects
AI Configurators; 3D Layout via Reinforcement Learning
Combinatorial Surface & Solid Design through Polygonization and Polyhedralization
Computational Shape Optimization for Designing Compression-Only Masonry/Earthy Buildings
Computational Topology Optimization for Designing Compression-Only Masonry/Earthy Buildings
Gamification of Generative Design for Combinatorial Generation of Modular Designs
Feed-Forward 3D Layout Optimization as to Spatial Qualities and Requirements
Mathematical Derivation of Building Envelopes as to Climatic Requirements
Human-Space Interaction Modelling for Spatial Cognition and Space Navigation
Computational Derivation of Configuration of Photovoltaic Panel Arrays on Buildings