Complex systems—like transportation networks, power grids, and social platforms—often behave in surprisingly similar ways, even though they arise from very different fields. For example, the flow of traffic and the distribution of electricity both follow fundamental rules, such as conservation laws and flow dynamics. Despite these shared principles, research into these systems tends to remain siloed within specific disciplines, missing opportunities to leverage common insights. This project seeks to bridge these gaps by creating graph-based computational tools that uncover shared patterns in diverse system behaviors, enabling scientists to reuse knowledge across fields and reduce redundant efforts. Beyond studying individual systems, the research explores the dynamics of interconnected systems, where interactions between networks can produce unexpected and complex outcomes. For instance, controlling a disease outbreak might fail unless social awareness and behavioral changes are also addressed. Similarly, adding a new road to ease traffic could unintentionally make congestion worse. Another example involves electric vehicles (EVs): their simultaneous charging near busy highways can overload local power grids. By examining these interactions holistically, the project aims to develop tools that predict and prevent cascading failures, optimize resources, and strengthen system resilience. A strong emphasis is also placed on interdisciplinary education and outreach to prepare the