Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab) is an interdisciplinary research group bridging the gap between theory and real-world. Interdependent networks require highly efficient computational algorithms to deal with large-scale optimization, learning, and ultimately decision making problems. Our goal is to leverage our solid mathematical background to develop novel algorithms tailored for various engineering applications. At solid lab we aim at solidifying critical infrastructures leveraging computing and information sciences, i.e., we are connecting Computer Science and Engineering worlds!