Complex Infrastructure Systems

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Mission

Research in our group aims to deliver the transformative new science and sophisticated computational and mathematical approaches required to turn data on complex infrastructure systems into actionable insights. We explore this question using mixed methods research, including operational research, computational research, network science, dynamic systems, spatial statistics, scalable data analytics, and machine learning. Our research is centered around three themes: Systems of Systems, Network Science, and Uncertainty Quantification.

Research

Systems of Systems

Network Science

Uncertainty Quantification

News

Modeling of spatially embedded networks via regional spatial graph convolutional networks
June 25, 2024

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…

Join the Lab

Join our team for a Ph.D. or postdoc specializing in Complex Infrastructure Systems. Enjoy full financial support, dive deep into areas like Network Science and Machine Learning, and bring your expertise from related disciplines. Apply now for a transformative research journey starting in Fall of 2025!

Review requirements

Networks in Networks

Recent Publications

2025

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Temporal Network