牛瑞吾 博士
Dr. Ruiwu, NIU
Lecturer

 

Description

I'm Ruiwu Niu, a researcher passionate about interdisciplinary work in epidemiology, complex networks, applied mathematics, and nonlinear systems. I earned my PhD in computational mathematics at Wuhan University. I investigate epidemic processes in metapopulation networks and clustered behaviors in weighted directed flow networks.

My track record includes 13 papers in SCI journals, with 9 as the first author, garnering 233 citations. Since 2020, I've led a National Natural Science Foundation project on "Spreading and Diffusion in Multilayer Complex Networks." During the COVID-19 pandemic, I contributed to three studies on disease transmission and accurately predicted the trend of Hong Kong's 2020 outbreak.

I've also taught engineering mathematics at Shenzhen University, where I enjoyed sparking students' critical thinking and problem-solving skills. I'm passionate about cross-disciplinary research and eager to make a meaningful impact in disease epidemiology and network dynamics, bringing tangible value to academia and society.

Courses Taught

  • Introduction to Data Science
  • Introduction to Database
  • Cloud Computing
 

Area of Interest

  • Complex networks
  • Mathematical epidemiology
  • Machine learning
  • Nonlinear dynamics
 

Academic Qualifications

  • 2016/09–2019/06: Ph.D in Computational Mathematics, School of Mathematics and Statistics, Wuhan University, China (Advisor: Prof Xiaoqun Wu)
  • 2013/09–2016/06: Master in Theoretical Physics, Faculty of Physics and Electronic Science, Hubei University, China (Advisor: Associate Prof Gui-Jun Pan)
  • 2008/09–2012/06: Bachelor in Theoretical Physics, Faculty of Physics and Electronic Science, Hubei University, China
 

Funded Projects

  • “Spreading and diffusion of multilayer complex networks”, National Natural Science Foundation of China (Grant No. 62006159), 2021/01-2023/12, CNY 240,000. (Principal Investigator )

 

Journal Publication

  • Wong, Y. K., Wu, C. F., & Tu, Y. H. (2022). Effectiveness of a Serious Game Design and Game Mechanic Factors for Attention and Executive Function Improvement in the Elderly: A Pretest-Posttest Study. Applied Sciences, 12(14), 6923.
  • Wu, C. F., Wong, Y. K., Hsu, H. H., & Huang, C. Y. (2022). Applying Affordance Factor Analysis for Smart Home Speakers in Different Age Groups: A Case Study Approach. Sustainability, 14(4), 2156.
  • Wong, Y. K., & Tu, Y. H. (2021). A Study of Favorability of Puzzle Game Design for Older People. International Journal of Innovation, Management and Technology, 12(1).
 

Book Publication

Selected Journal Papers (* Corresponding author)
  • Ruiwu Niu, Guanrong Chen, Xiaoqun Wu*, Jianwen Feng, Micha¨el Antonie van Wyk, “Designating Nodal States in Physical Flow Networks via Flow Rerouting”, Under Review, 2025.
  • Ruiwu Niu, Yin-Chi Chan, Simin Liu, Eric W. M. Wong*, Micha¨el Antonie van Wyk, “Stability analysis and periodic results of an epidemic model with two competing variants and cross-infections”, Under Review, 2025.
  • Ruiwu Niu, Yin-Chi Chan, Eric W. M. Wong*, Simin Liu, Micha¨el Antonie van Wyk, “Dynamics of a susceptible-infected-recovered model on complex networks with interregional migration,” Physical Review E 110, 024304, 2024.
  • Ruiwu Niu, Eric W. M. Wong*, Yin-Chi Chan, Micha¨el Antonie van Wyk, Guanrong Chen, “A stochastic SEIHR model for COVID-19 data fluctuations”, Nonlinear Dynamics 106, 1311–1323, 2021.
  • Ruiwu Niu, Eric W. M. Wong*, Yin-Chi Chan, Micha¨el Antonie van Wyk, Guanrong Chen, “Modeling the COVID-19 Pandemic Using an SEIHR Model With Human Migration”, IEEE Access vol. 8, pp. 195503-195514, 2020.
  • Wang, Jianbo, Yin-Chi Chan, Ruiwu Niu, Eric W. M. Wong, and Micha¨el Antonie van Wyk. “Modeling the Impact of Vaccination on COVID-19 and Its Delta and Omicron Variants”, Viruses 14, no. 7: 1482, 2022.
  • Congying Liu, Xiaoqun Wu*, Ruiwu Niu, M. A. Aziz-Alaoui and Jinhu L¨u, “Opinion Diffusion in Two-Layer Interconnected Networks”, IEEE Transactions on Circuits and Systems I: Regular Papers vol. 68, no. 9, pp. 3772-3783, Sept. 2021
  • Congying Liu, Xiaoqun Wu*, Riuwu Niu, Xiuqi Wu, Ruguo Fan “A new SAIR model on complex networks for analysing the 2019 novel coronavirus (COVID-19)”, Nonlinear Dynamics 101: 1777-1787, 2020.
  • Dan Chen, Ruiwu Niu, and Gui-Jun Pan*, “Correlations between communicability sequence entropy and transport performance in spatially embedded networks”, Physical Review E 99.6: 0623101, June 2019.
  • Ruiwu Niu, Xiaoqun Wu*, Jun-an Lu, Jinhu L¨u, “Adaptive Diffusion Processes of Time-Varying Local Information on Networks”, IEEE Transactions on Circuits and Systems II: Express Briefs DOI: 10.1109/TCSII.2019.2893237, January 2019.
  • Ruiwu Niu, Xiaoqun Wu*, Jun-an Lu, Jianwen Feng, “Phase synchronization on spatially embedded duplex networks with total cost constraint”, Chaos: An Interdisciplinary Journal of Nonlinear Science 28.9: 093101, November 2017.
  • Gui-Jun Pan, and Rui-Wu Niu*, “Biased random walks on Kleinberg’s spatial networks”, Physica A: Statistical Mechanics and its Applications 463: 509-515, July 2016.
  • Rui-Wu Niu, and Gui-Jun Pan*, “Self-Organized Optimization of Transport on Complex Networks”, Chinese Physics Letters 33.6: 068901, June 2016.
  • Rui-Wu Niu, and Gui-Jun Pan*, “Biased random walk in spatially embedded networks with total cost constraint”, Physica A: Statistical Mechanics and its Applications 461: 9-18, May 2016.

  • Rui-Wu Niu, and Gui-Jun Pan*, “Transport optimization on complex gradient networks”, Chinese Journal of Physics 54.2: 278-284, April 2016.

 

Professional Experiences

  • 2022/11–2024/08: Research Associate, Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China (Research Advisor: Associate Prof Eric W. M. Wong)
  •  2019/11–2022/10: Associate Research Fellow, College of Mathematics and Statistics, Shenzhen University, Shenzhen, China (Research Advisor: Prof Jianwen Feng)