Sandra Manninger

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About

Sandra Manninger is a pioneering researcher at the intersection of architecture, computational design, and artificial intelligence. Her work fundamentally reimagines how machines perceive and generate spatial environments, drawing profound parallels between human visual processing and machine learning. In her highly influential paper "Towards Hallucinating Machines - Designing with Computational Vision" (2020, 18 citations), Manninger explores how deep neural networks, trained on vast image databases, can "hallucinate" novel architectural forms—blurring the line between digital perception and physical design. This research has established her as a leading voice in computational vision for architecture, demonstrating how AI can move beyond mere tool-use to become a collaborative creative partner. Her contributions have been recognized internationally, shaping new dialogues on machine agency in design. Manninger’s work continues to inspire architects and technologists to rethink the boundaries of creativity, positioning her at the forefront of a new, AI-augmented design paradigm.