• Biography:Dr. Peng Ji received his Ph.D. in theoretical physics (supervised by Prof. Jurgen Kurths) from Humboldt University, Berlin, Germany in 2015. Later he worked at the Potsdam Institute for Climate Impact Research. In 2017, he joined the Institute of Science and Technology for Brain-Inspired Intelligence of Fudan University and obtained many projects, e.g., the Program for Professor of Special Appointment (Eastern Scholar) and Shanghai Pujiang Program. He has published many papers in the Physics Reports, Physical Review Letters and other journals, and his current research directions include complex network nonlinear dynamics, brain network dynamics (brain structure networks, brain function networks, and genetic effects).
    Recent research interests: nonlinear synchronous dynamics, brain structure and functional network dynamics.
    Recent Research Plan: Reproducibility of Multi-scale Brain Function Networks; Dynamic hierarchical clustering analysis under natural vision.
  • Achievements:

    Ji, P., Lu, W., & Kurths, J. (2018). Stochastic basin stability in complex networks. EPL (Europhysics Letters), 122(4), 40003.

    F. A., Peron, T. K. D., Ji, P., & Kurths, J. (2016). The Kuramoto model in complex networks. Physics Reports, 610, 1-98.

    Ji, P., Peron, T. K. D., Menck, P. J., Rodrigues, F. A., & Kurths, J. (2013). Cluster explosive synchronization in complex networks. Physical review letters, 110(21), 218701.