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Dr Yilun Shang

Associate Professor

Department: Computer and Information Sciences

 Yilun Shang

I have an interdisciplinary interest in complex system, which refers to a system composed of many interacting parts, such that the collective behaviour of those parts together is more than sum of their individual behaviour.

I am currently an Associate Professor in Computer and Information Sciences at Northumbria. Prior to this I have been an Associate Professor at Tongji University leading the Complex Network group in School of Mathematical Sciences for four years (2014-2018). Before this I held various postdoctoral appointments with Institute for Cyber Security and Department of Computer Science at University of Texas at San Antonio, SUTD-MIT International Design Centre at Singapore University of Technology and Design, and Einstein Institute of Mathematics at Hebrew University of Jerusalem (2010-2014). In 2017, I visited Department of Mathematical Sciences at University of Essex as a short stay Essex International Visiting Fellow. I received my PhD degree in Applied Mathematics in 2010 and BSc degree in Mathematics in 2005, both from Shanghai Jiao Tong University. I received the 2016 Dimitrie Pompeiu Prize from the Romanian Academy in recognition of my work in network synchronization and presented a 15min short communication in the 2018 International Congress of Mathematicians in Rio de Janeiro under the auspices of Open Arms Grants.

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.

Opportunities to carry out postgraduate research towards a PhD/MSc by research exist in all the areas of interest identified above. I’m always open to suggestions for PhD/MSc topics in my research area of complex networks and systems.

 

Campus Address

Room 206, Ellison Building Block B
Northumbria University
Newcastle upon Tyne
NE1 8ST

  • Please visit the Pure Research Information Portal for further information
  • Expected value of first Zagreb connection index in random cyclooctatetraene chain, random polyphenyls chain, and random chain network, Raza, Z., Akhter, S., Shang, Y. 4 Jan 2023, In: Frontiers in Chemistry
  • A system model of three-body interactions in complex networks: Consensus and conservation, Shang, Y. 23 Feb 2022, In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
  • Consensus Tracking and Containment in Multiagent Networks With State Constraints, Shang, Y. 20 Sep 2022, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems
  • Constrained Consensus in State-Dependent Directed Multiagent Networks, Shang, Y. 1 Nov 2022, In: IEEE Transactions on Network Science and Engineering
  • Fault-Tolerant Metric Dimension of Circulant Graphs, Saha, L., Lama, R., Tiwary, K., Das, K., Shang, Y. 1 Jan 2022, In: Mathematics
  • Feature-enriched core percolation in multiplex networks, Shang, Y. 29 Nov 2022, In: Physical Review E
  • Interval consensus of switched multiagent systems, Shang, Y. 25 Jan 2022, In: International Journal of Systems Science
  • Median-based resilient consensus over time-varying random networks, Shang, Y. 15 Mar 2022, In: IEEE Transactions on Circuits and Systems II: Express Briefs
  • On connectivity and robustness of random graphs with inhomogeneity, Shang, Y. 5 Sep 2022, In: Journal of Applied Probability
  • On the Characterization of a Minimal Resolving Set for Power of Paths, Saha, L., Basak, M., Tiwary, K., Das, K., Shang, Y. 13 Jul 2022, In: Mathematics

  • Please visit the Pure Research Information Portal for further information
  • Organising a conference, workshop, ...: 2021 3rd International Conference on Computer Modeling, Simulation and Algorithm 2021
  • Organising a conference, workshop, ...: 2020 4th International Conference on Modelling, Simulation and Applied Mathematics 2020
  • Organising a conference, workshop, ...: 2019 International Conference on Modeling, Simulation, Optimization and Algorithm 2019
  • Invited talk: Recent advances on variants of Estrada index of random graphs 2019
  • Invited talk: New bounds for Gaussian Estrada index of graphs 2019

  • Applied Mathematics PhD June 30 2010
  • AFHEA 2019
  • FHEA 2020


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