Solid Lab

Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab) is an interdisciplinary research group bridging the gap between computer science theory (mainly machine learning/AI/optimization) and real-world applications (engineering systems, healthcare, and cybersecurity). We focus on developing highly efficient computational algorithms to deal with large-scale machine learning, optimization, and ultimately decision-making problems. Our goal is to leverage our solid mathematical background to develop novel machine learning and optimization algorithms tailored for various engineering applications. At solid lab, we are connecting the Computer Science and Engineering worlds! For more information, please visit