Naoki Masuda

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Naoki Masuda is a professor at the Department of Mathematics and the Institute for Artificial Intelligence and Data Science, State University of New York at Buffalo. His research interests include network science and mathematical biology. He particularly focuses on temporal networks, analysis of biological and medical network data, models of contagion processes, and random walks on networks. He received a PhD in mathematical engineering in 2002 from the University of Tokyo. He worked as faculty at the University of Tokyo between 2006 and 2014 and the University of Bristol, UK, between 2014 and 2019 and moved to the State University of New York at Buffalo in 2019.


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Predicting Tipping Points in Complex Systems

A machine-learning framework predicts when a complex system, such as an ecosystem or a power grid, will undergo a critical transition. Read More »