Jun Yamamoto

PhD candidate in Network Science
Department of Network and Data Science, Central European University

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I am a PhD candidate in the Department of Network and Data Science at Central European University in Vienna, Austria. My research interests lie in the statistical physics of complex networks.

I am working on spectral, topological, and dynamical aspects of physical networks, i.e., networks consisting of tangible nodes and edges that are embedded in Euclidean space. In particular, my PhD project is centered around the spectral properties of physical Laplacians formulated as node-weighted graph Laplacians that incorporate the physicality of nodes into combinatorial graph Laplacian, under the assumption of time scale separation between the internal and external dynamics of physical nodes. The ongoing projects include eigenmode delocalization in physical Laplacians and synchronization in networks of spin Hall nano-oscillators. I am supervised by Prof. Márton Pósfai and Prof. János Kertész.

Prior to my PhD, I earned an MSc in Mathematics at Queen Mary University of London, where I worked with Prof. Ginestra Bianconi on higher-order network dynamics with triadic interactions. I hold a BEng in Applied Physics from Hokkaido University in Sapporo, Japan, where my thesis, supervised by Prof. Kousuke Yakubo, explored the bifractal properties of fractal scale-free networks.

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Education

  • PhD in Network Science, In progress.
    Department of Network and Data Science, Central European University
    Vienna, Austria.

  • MSc in Mathematics, 2023.
    School of Mathematical Sciences, Queen Mary University of London
    London, UK.

  • BEng in Applied Physics, 2022.
    Department of Applied Physics, Faculty of Engineering, Hokkaido University
    Sapporo, Japan.

Interests

  • Complex networks
  • Scale invariance and renormalization of complex networks
  • Laplacian dynamics
  • Network physicality
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