Paul Trunfio’s research focuses on computational and visual modeling of complex systems. Network science provides a perspective to learn about complex systems and a richer understanding of real-world problems. In social, political and defense systems, among others, network infrastructures show a large number of interdependencies: physical interdependency when energy, material or people flow from one infrastructure to another; cyber interdependency when information is transmitted or exchanged; geographic interdependency signaling the co-location of infrastructure elements; logical interdependency that signals financial, political coordination, and other interactions.
Paul Trunfio also seeks to build bridges between science research and education through multiple efforts to adapt research-driven computational models and tools to science education, develop curricula, host workshops and internships, and build mentorships between undergraduate and graduate university students and K-12 students and teachers.
Learn more about his research and activities at his Personal Homepage and his profile page on the Department of Physics website.