معرفی
Naoki Masuda is a Professor at the Department of Mathematics and the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan. His research lies at the intersection of network science and mathematical biology, with a focus on dynamic networks, time-varying systems, and data-driven analysis of complex systems.
- B.Sc., University of Tokyo (1998)
- M.Sc., University of Tokyo (2000)
- Ph.D., University of Tokyo (2002)
Masuda's theoretical work includes temporal networks, multilayer networks, hypergraphs, and random walk algorithms. His applications span genomics, fMRI neuroimaging, animal behavioral biology, and social networks in public health. He develops methods for analyzing time-varying network structures and has created open-source tools like MATLAB and Python implementations for network analysis.
Recent publications focus on epidemic dynamics on temporal networks (2017-2020), energy landscape analysis of brain activity (2013-2020), and evolutionary cooperation mechanisms (2011-2016). His work often involves interdisciplinary collaborations with neuroscientists, biologists, and public health researchers.
Masuda maintains active research groups with students like Alber Aqil (PhD candidate in biological sciences) and Yanyan Li (former undergraduate math student). He welcomes researchers interested in complex networks and mathematical biology, particularly those working with temporal network data or neuroimaging datasets.
