Interactive architecture workshop and studio (ABE)
Delivery society studio (ABE)
Delft Lectures on Architectural Design and Research Methods (ABE)
MSc Projects in AI & optimization for structural/architectural systems (ABE,CEG,CS)
Resources
Master Projects (Openings)
MSc project opportunities are available in the areas of computer vision, deep learning, reinforcement learning, and Bayesian networks for structural and architectural applications. Please contact the lab coordinators for further information at aidaptlab@tudelft.nl.
Ongoing Master Projects
Maintenance planning of monitored structures through deep reinforcement learning (CEG, Christos Lathourakis)
AI-driven structural adaptation policies in a changing climate (CEG, Sammie Knopert)
Exploring optimal structural design spaces through generative deep learning models (ABE, Stella Pavlidou)
Occupant comfort prediction through machine learning models (ABE, Maryam Aboueimehrizi)
Data-efficient representation learning for topological image data (Emanuel Kuhn)
Object detection for illustrated imagery (Devin Lieuw A Soe, Haoran Wang)
Finished Master Projects
Topology optimization formulations for cast glass structural components (ABE, Anna Maria Koniari)
Using cell structure patterns to train generative AI models to explore topology design ideas (ABE, Stella Pavlidou, Namrata Barhua)