Yilun Shang

PeerJ Editor & Reviewer

Summary

I am currently an Associate Professor in Computer and Information Sciences at Northumbria. Prior to this I have worked in Tongji University and held serveral postdoctoral appointments. I received my PhD degree and BSc degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.

Adaptive & Self-Organizing Systems Agents & Multi-Agent Systems Algorithms & Analysis of Algorithms Artificial Intelligence Autonomous Systems Computational Science Data Mining & Machine Learning Data Science Mathematical Biology Network Science & Online Social Networks Optimization Theory & Computation Population Biology Robotics Scientific Computing & Simulation Social Computing Statistics Theoretical & Computational Chemistry Thermodynamics & Statistical Mechanics

Editing Journals

PeerJ - the Journal of Life & Environmental Sciences

PeerJ Computer Science

Past or current institution affiliations

University of Northumbria at Newcastle

Work details

Associate Professor

University of Northumbria at Newcastle

October 2018

Computer and Information Sciences

In the framework of complex networks and systems, my current research activities can roughly be grouped into three categories as follows. 1. Physical and functional properties of complex networks. Robustness and resilience of complex networks using percolation theory, probabilistic analysis, master equations, network-theoretic methods, and numerical simulations; Information diffusion and epidemic disease models using graph theory, ordinary/partial/stochastic differential equations, stochastic processes, stability theory, Lie algebra method, and numerical simulations. 2. Mathematical properties of complex network models and random graphs. Combinatorial study of various random graph models, including E-R random graph, Chung-Lu model, random regular graphs, random intersection graphs, random geometric graphs, inhomogeneous random graphs, stochastic block models, networks of networks; Topological and geometric properties including degree distribution, distance, Hamiltonian path, cycles, connectivity, connected components, clustering coefficient, chromatic number, clique number, independence number, hierarchical self-similarity, expander properties, Gromov hyperbolicity, random walks, graphon, and various algebraic graph indices. 3. Nonlinear dynamical systems and collective behaviours in complex systems. Social/biological dynamics over complex networks (including opinion evolutions, information diffusion, and swarm dynamics); Synchronization phenomenon and consensus problems in multi-agent systems with applications in system engineering using control theory, matrix theory, optimization methods, and numerical simulations.