Personal Introduction:

Ming Li received B.S. degree from Anhui University in 2009. Then, He studied the statistical physics as applied to complex networks and complex systems at University of Science and Technology of China, and graduated with a Ph.D. degree in theoretical physics. From 2014 to 2016, he was a Post-doctoral Fellow in the Department of Modern Physics at University of Science and Technology of China. In the first half of 2016, he worked at Department of Applied Physics, The Hong Kong Polytechnic University as a Post-doctoral Fellow. From 2016 to 2021, he worked at School of Engineering Science, University of Science and Technology of China as a Research Scientist. Since 2022, he works at Department of Physics, Hefei University of Technology as a Professor of Physics.

The group of Ming Li conducts research on the Statistical Physics and Complex Systems. By statistical physics, computer simulations, and empirical methods, they investigate the organization mechanism and critical phenomena of various systems, based on which they aim to understand the universal nature of natural and social complex systems.

Research Interest：

Phase transition and critical phenomena, complex networks, nonlinear dynamics.

Courses：

Graduate: "Advanced Statistical Physics", "Lectures on Frontiers of the Discipline"

Research Projects:

Research Papers：

[1] Explosive percolation obeys standard finite-size scaling in an event-based ensemble. Ming Li*, Junfeng Wang, and Youjin Deng*. Phys. Rev. Lett. 130, 147101 (2023).

[2] SRRS: A blockchain fast propagation protocol based on non-Markovian process. Hui Wang, Xiaowei Zhang, Ming Li*, and Donghui Hu*. Comput. Netw. 219, 109435 (2022).

[3] Optimizing protection resource allocation for traffic-driven epidemic spreading. Jie Chen, Jinde Cao, Ming Li, and Mao-bin Hu. Chaos 32, 083141 (2022).

[4] Percolation on complex networks: Theory and application. Ming Li, Run-Ran Liu, Linyuan Lü, Mao-Bin Hu, Shuqi Xu, and Yi-Cheng Zhang. Phys. Rep. 907, 1 (2021).

[5] Organization of cooperation in fractal structures. Dan Peng, and Ming Li*. J. Stat. Mech. 2021, 033404 (2021).

[6] History-dependent percolation on multiplex networks. Ming Li, Linyuan Lü, Youjin Deng, Mao-Bin Hu, Hao Wang, Matúš Medo, and H. Eugene Stanley. Natl. Sci. Rev. 7, 1296-1305 (2020).

[7] Traffic-driven epidemic spreading in multiplex networks. Jie Chen, Mao-Bin Hu*, and Ming Li*. Phys. Rev. E 101, 012301 (2020).

Please visit the Homepage at https://stat-phys.github.io to see the latest works of Ming Li’s group.

Honors：

Homepage：

https://stat-phys.github.io/