Lecturer · Hong Kong Shue Yan University

Ruiwu Niu

Dept. of Applied Data Science · HKSYU

Investigating the mathematical underpinnings of complex networked systems — from epidemic spreading and synchronization dynamics to adaptive diffusion and network flow optimization.

233+ Citations
15 Publications
3 Grants
Google Scholar HKSYU Profile Network Viz Contact
Portrait of Ruiwu (Richard) Niu
HKSYU Dept. of Applied Data Science

Research Interests

Fields of Inquiry

Complex Networks

Synchronization, diffusion and flow on multilayer and spatially embedded networks. Topological identification and reconfiguration.

Mathematical Epidemiology

SEIR/SEIHR compartmental models, stochastic epidemic dynamics, COVID-19 modelling with migration and variants.

Nonlinear Dynamics

Phase synchronization, bifurcation analysis, and adaptive processes in interconnected dynamical systems.

Machine Learning

Data-driven approaches to network analysis, diffusion processes, and predictive modelling of complex system behaviour.

Selected Publications

Journal Papers

01

Designating Nodal States in Physical Flow Networks via Flow Rerouting

Ruiwu Niu, Guanrong Chen, Xiaoqun Wu*, Jianwen Feng, Michaël Antonie van Wyk

Under Review — 2025

Under Review
02

Stability Analysis and Periodic Results of an Epidemic Model with Two Competing Variants and Cross-Infections

Ruiwu Niu, Yin-Chi Chan, Simin Liu, Eric W. M. Wong*, Michaël Antonie van Wyk

Under Review — 2025

Under Review
03

Dynamics of a Susceptible-Infected-Recovered Model on Complex Networks with Interregional Migration

Ruiwu Niu, Yin-Chi Chan, Eric W. M. Wong*, Simin Liu, Michaël Antonie van Wyk

Physical Review E 110, 024304 — 2024

Published
04

A Stochastic SEIHR Model for COVID-19 Data Fluctuations

Ruiwu Niu, Eric W. M. Wong*, Yin-Chi Chan, Michaël Antonie van Wyk, Guanrong Chen

Nonlinear Dynamics 106, 1311–1323 — 2021

Published
05

Modeling the COVID-19 Pandemic Using an SEIHR Model With Human Migration

Ruiwu Niu, Eric W. M. Wong*, Yin-Chi Chan, Michaël Antonie van Wyk, Guanrong Chen

IEEE Access vol. 8, pp. 195503–195514 — 2020

Published
06

Opinion Diffusion in Two-Layer Interconnected Networks

Congying Liu, Xiaoqun Wu*, Ruiwu Niu, M. A. Aziz-Alaoui, Jinhu Lü

IEEE Transactions on Circuits and Systems I vol. 68, no. 9 — 2021

Published
07

Adaptive Diffusion Processes of Time-Varying Local Information on Networks

Ruiwu Niu, Xiaoqun Wu*, Jun-an Lu, Jinhu Lü

IEEE Transactions on Circuits and Systems II — 2019

Published
08

Phase Synchronization on Spatially Embedded Duplex Networks with Total Cost Constraint

Ruiwu Niu, Xiaoqun Wu*, Jun-an Lu, Jianwen Feng

Chaos: An Interdisciplinary Journal of Nonlinear Science 28.9 — 2017

Published
View All 15 Publications on Google Scholar

Background

Experience & Education

Professional

2022.11 — 2024.08

Research Associate

Department of Electrical Engineering
City University of Hong Kong

2019.11 — 2022.10

Associate Research Fellow

College of Mathematics and Statistics
Shenzhen University

2022.02 — 2022.06

Lecturer — Engineering Mathematics

Shenzhen University

Education

2016.09 — 2019.06

PhD · Computational Mathematics

School of Mathematics and Statistics
Wuhan University · Advisor: Prof. Xiaoqun Wu

2013.09 — 2016.06

Master · Theoretical Physics

Faculty of Physics and Electronic Science
Hubei University · Advisor: Assoc. Prof. Gui-Jun Pan

2008.09 — 2012.06

Bachelor · Theoretical Physics

Faculty of Physics and Electronic Science
Hubei University

Funding

Sponsored Research

Principal Investigator

Spreading and Diffusion of Multilayer Complex Networks

Funder: NSFC Grant No. 62006159

Period: 2021.01 — 2023.12

Amount: CNY 240,000

Co-Investigator

Topological Identification and Reconfiguration on Multilayer Dynamical Networks

Funder: NSFC Grant No. 61773294

Period: 2018.01 — 2021.12

Amount: CNY 650,000

Co-Investigator

Analysis of Mobile Data Based on Complex Networks

Funder: Hubei Province NSF (No. 2017CFA052)

Period: 2017.01 — 2019.12

Amount: CNY 200,000

Technical Stack

Programming & Tools

Python MATLAB C++ Fortran R Complex Networks ODE / PDE Systems Stochastic Modelling Graph Theory Epidemic Modelling Network Synchronization Numerical Methods

Get in Touch

Contact

Open to collaborations in complex networks, epidemiological modelling, and nonlinear dynamics research. Feel free to reach out for academic discussions or joint projects.

Email ruiwuniu@gmail.com
Google Scholar 233+ Citations
HKSYU Staff Profile adsci.hksyu.edu
Network Visualization ruiwuniu.github.io/connections
Address 5/F, High Block, Research Complex, HKSYU, 6 Wai Tsui Crescent, North Point, Hong Kong
233+ Google Scholar Citations
13 Papers
2 In Review
3 Grants
Open Scholar Profile