Our latest research, "Modeling of spatially embedded networks via regional spatial graph convolutional networks", is now published and available as open access in CACAIE.

We introduce the Regional Spatial Graph Convolutional Network (RSGCN), a novel geometric-based deep learning model designed to capture complex patterns in spatially…

The Complex Infrastructure Systems Group at Princeton University is excited to announce an open position for a Ph.D. Researcher in Network Science. This is a unique opportunity to engage in pioneering research that interlinks infrastructure systems, network science, and machine learning.

About the Role: As part of our…

Complex Geometry Envelope Design for Digital Fabrication (DfDFAB) in BIM

The world of architecture and design has been evolving at an unprecedented pace, with advancements in Building Information Modeling (BIM) and digital fabrication leading the charge. The latest edition of the CEE Seminar Series held this fall provided a…