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
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…
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Events
Featured Projects
The aim of this project is to collaborate with industry partners to develop comprehensive, system-level approaches for evaluating the resilience of large-scale infrastructure systems to climate change hazards. This is an urgent need as current industrial practices primarily utilize asset-level performance indicators to make crucial systemwide…
Half a billion people in Sub-Saharan Africa (SSA) lack access to electricity. Infrastructure investments of USD 22 billion annually are required to provide universal access to affordable electricity. Hence, information about the existing, planned, and necessary electricity infrastructure is crucial to ensure sustainable investments and support…
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!
Team
Recent Publications
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