Journal of Frontier Studies across Disciplines

Dr. Din Anwarud is an Associate Professor in the School of Mechanical and Electrical Engineering at Chengdu University of Technology, China. He obtained his Ph.D. in Applied Mathematics from Sun Yat-sen University, China. His research focuses on stochastic nonlinear dynamical systems, mathematical epidemiology, fractional calculus, infectious disease modeling, and applied mathematics. He has published more than 90 research articles in internationally recognized journals, authored book chapters, serves on the editorial boards of several international journals, and has supervised doctoral researchers. His work has received international recognition through prestigious fellowships and research awards.

• Stochastic nonlinear dynamical systems
• Mathematical modeling and analysis
• Mathematical epidemiology
• Infectious disease modeling
• Noise-induced dynamics
• Multi-scale dynamical systems
• Front propagation phenomena
• Bioinformatics
• Applied mathematics

• Associate Professor, Chengdu University of Technology, China
• Former Postdoctoral Researcher and Research Associate at Sun Yat-sen University, China
• Editor-in-Chief, Journal of Applied Mathematics
• Editorial Board Member, Journal of Mathematical Techniques in Modeling (JMTM)
• Editor, VL Journal of Applied Mathematics
• Editor, Discover Mechanical Engineering
• Supervisor and Co-supervisor of Ph.D. scholars
• Active participant in international research projects funded by the National Natural Science Foundation of China and Chengdu University of Technology
• Reviewer, editor, and conference participant in numerous international scientific meetings.

• Din, A., Liang, J., & Zhou, T. (2018). Detecting critical transitions in the case of moderate or strong noise by binomial moments. Physical Review E, 98(1), 012114.
• Din, A., & Li, Y. (2022). Theoretical and numerical analysis of hepatitis B virus model with non-singular kernels. Waves in Random and Complex Media.
• Din, A. (2021). The stochastic bifurcation analysis and stochastic delayed optimal control for epidemic model with general incidence function. Chaos: An Interdisciplinary Journal of Nonlinear Science.
• Din, A., Li, Y., & Yusuf, A. (2021). Delayed hepatitis B epidemic model with stochastic analysis. Chaos, Solitons & Fractals, 146, 110839.
• Din, A., Li, Y., Khan, T., & Zaman, G. (2020). Mathematical analysis of spread and control of the novel coronavirus (COVID-19) in China. Chaos, Solitons & Fractals, 141, 110286.
• Din, A., Li, Y., & Shah, M. A. (2021). The Complex Dynamics of Hepatitis B Infected Individuals with Optimal Control. Journal of Systems Science and Complexity.
• Din, A., & Li, Y. (2022). Mathematical analysis of a new nonlinear stochastic hepatitis B epidemic model with vaccination effect and a case study. European Physical Journal Plus, 137, 558.
• Din, A., & Li, Y. (2021). Stationary distribution, extinction and optimal control for the stochastic hepatitis B epidemic model with partial immunity. Physica Scripta, 96(7), 074005.
• Din, A., et al. (2021). Stochastic optimal control for norovirus transmission dynamics by contaminated food and water. Chinese Physics B.
• Din, A., et al. (2020). Viral dynamics and control of hepatitis B virus (HBV) using an epidemic model. Alexandria Engineering Journal, 59(2), 667–679.
• Din, A., et al. (2022). Impact of information and Lévy noise on stochastic COVID-19 epidemic model under real statistical data. Journal of Biological Dynamics.
• Din, A., et al. (2022). A stochastic SIQR epidemic model with Lévy jumps and three-time delays. Applied Mathematics and Computation, 431, 127329.
• Din, A., et al. (2023). Numerical Simulation of Nonlinear Stochastic Analysis for Measles Transmission: A Case Study of a Measles Epidemic in Pakistan. Fractal and Fractional, 7(2), 130.
• Din, A., & Li, Y. (2024). Ergodic stationary distribution of age-structured HBV epidemic model with standard incidence rate. Nonlinear Dynamics.
• Din, A. (2026). Neural network assisted stability exploration of a stochastic Hepatitis B model incorporating dual transmission routes and immune response. Journal of Applied Mathematics and Computing.