Dr. Matt Mizuhara received an NSF grant to fund his research on self-similarity on dynamical networks. Self-similarity manifests in real-world networks in multiple ways, from the hierarchical self-similarity of the Internet, to the fractal-like structure of dendritic trees of neurons and protein interaction networks, and to the multiscale organization of social and epidemiological networks. Math modeling helps us understand the principles underlying network dynamics, which can be used for effective prediction and control of real-world networks. Dr. Mizuhara’s research studies the implications of self-similar structure of networks on their emergent dynamics and aims to bridge analytical theories of fractals and differential equations on fractals with applications in network science. Congratulations, Dr. Mizuhara!
