Welcome to the LSU RAISE Lab
Resilient Advanced Infrastructure & Systems Engineering
Welcome to the RAISE Lab, where we pioneer cutting-edge research at the intersection of cyber-physical infrastructure systems, power systems, resilience, machine learning, optimization, and quantum computing.
At RAISE Lab, we are dedicated to developing innovative solutions that enhance the resilience, efficiency, and security of modern infrastructure. Our research aims to bridge the gap between theory and real-world applications, addressing key challenges in energy systems, infrastructure reliability & resilience, and advanced computational methods.
Highlights
DVQE: a general-purpose distributed variational quantum eigensolver to solve any QUBO problem. Access DVQE and resources on GitHub.
DPLib: an open-source, MATLAB-based benchmark library designed to advance distributed and decentralized power system optimization. Access DPLib and resources on GitHub.
Our Focus Areas
Cyber-Physical Infrastructure Systems – Enhancing the reliability and security of interconnected infrastructure.
Power Systems Operation, Planning, & Resilience – Developing next-generation methodologies for grid stability and sustainability.
Machine Learning & AI Applications – Leveraging data-driven techniques to optimize infrastructure performance.
Optimization & Decision Science – Using advanced mathematical models to improve infrastructure efficiency.
Quantum Computing for Infrastructure Systems – Exploring quantum-enhanced algorithms for large-scale energy and optimization problems.
Our Mission
We strive to advance fundamental and applied research that strengthens infrastructure resilience in the face of climate hazards, cyber threats, and operational uncertainties. Through interdisciplinary collaboration and industry partnerships, we aim to develop transformative solutions that will shape the future of resilient energy and infrastructure systems.
GitHub
Explore our RAISE Lab GitHub Repository to access datasets, source code, and tools developed by our research team. These resources support our work in resilient infrastructure, optimization, machine learning, and quantum computing.
Get Involved
The RAISE Lab is always looking for passionate students, researchers, and industry partners who share our vision. Whether you are interested in research collaborations, pursuing graduate studies, or exploring potential applications of our work, we welcome you to connect with us.
📩 Contact Us | 🔬 Explore Our Research | 📑 Recent Publications