Benjamin Ennemoser

Benjamin Ennemoser is an Assistant Professor in the Department of Architecture, specializing in the intersection of artificial intelligence, urban design, and architectural theory. His work explores how computational methods and machine learning can transform architectural practices, urban planning, and spatial justice. He focuses on topics such as AI-driven design processes, generative models for urban systems, and the ethical implications of technology in built environments.

Research interests include:

• Artificial intelligence applications in architectural form generation
• Machine learning for urban spatial analysis
• Sustainable housing typologies and aging-in-place design
• Critical theory of technology's role in architecture

Recent work emphasizes interdisciplinary approaches to:

• Manifold interpolation techniques for design optimization
• 3D GAN applications in multi-scale architectural datasets
• Machine learning frameworks for equitable urban systems (ML-City)

No scientific awards or grants are explicitly listed in the provided information. His current research includes collaborations on digital fabrication methods and AI-driven urban justice initiatives.