Nicholas Fewster-Young

Dr Nicholas Fewster-Young

Program Director

UniSA STEM

Teaching Enterprise

Available For Media Comment.

Dr Nick Fewster-Young is an active researcher in the field of Dynamical Systems, in particular investigating real world applications in terms of mathematical formulations and providing understanding and the validity of the models in terms of qualitative and quantitative results. Real world applications in the fields of quantum physics, thermodynamics, fluid mechanics, chemical engineering and cancer research. He is a Lecturer in Mathematics at University of South Australia since 2016 and completed his PhD at University of New South Wales in 2014. Currently, he has published several publications in high profiled international journals in the field of Dynamical Systems, and Statistics relating to Eduational Studies. He has been awarded Vice-Chancellor's Award in Teaching & Learning Excellence and been awarded in excellence through Teaching & Learning and UniSA grant in Education in 2016.

My current research is split into two avenues: Qualitative understanding of Singular and Nonlinear Dynamical Systems with focus on fractional difference and continuous systems; and Learning & Teaching research of a quantitative nature which connects the teacher, data and the (individual) student.

Year Citation
2025 Korolkiewicz, M., Fewster Young, N., Marmolejo Ramos, F., Gabriel, F., Kariuki, P., Puga, J. L., . . . Garcia, A. M. R. R. (2025). Fear of the unknown: relationship between statistics anxiety and attitudes toward statistics of university students in three countries. Teaching Statistics, 47(1), 17-38.
DOI
2025 Rehman, S. U., Nawaz, R., Zia, F., & Fewster Young, N. (2025). A Comprehensive study on the applications of NTIM and OAFM in analyzing fractional Navier-Stokes Equations. Axioms, 14(7, article no. 521), 1-14.
DOI
2024 Rehman, S. U., Nawaz, R., Zia, F., Fewster Young, N., & Ali, A. H. (2024). A comparative analysis of Noyes-Field model for the non-linear Belousov-Zhabotinsky reaction using two reliable techniques. Alexandria Engineering Journal, 93, 259-279.
DOI Scopus4 WoS4
2024 Nawaz, R., Fewster Young, N., Katbar, N. M., Ali, N., Zada, L., Ibrahim, R. W., . . . Alqahtani, H. (2024). Numerical inspection of (3 + 1)- perturbed Zakharov-Kuznetsov equation via fractional variational iteration method with Caputo fractional derivative. Numerical Heat Transfer, Part B: Fundamentals, 85(9), 1162-1177.
DOI
2024 Ahmad, H., Farooq, M., Khan, I., Nawaz, R., Fewster Young, N., & Askar, S. (2024). Analysis of nonlinear fractional-order Fisher equation using two reliable techniques. Open Physics, 22(1), 1-8.
DOI Scopus3 WoS3
2024 Iqbal, A., Nawaz, R., Ashraf, R., Mehran., Fewster Young, N., & Hina. (2024). Extension of optimal auxiliary function method to nonlinear Sin Gordon partial differential equations. Partial Differential Equations in Applied Mathematics, 10(100735), 1-5.
DOI Scopus4
2023 Fewster Young, N., & Corcoran, P. A. (2023). Personalising the student first year experience - an evaluation of a Staff Student Buddy System. Journal of University Teaching & Learning Practice, 20(1, article no. 14), 1-30.
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2023 Ayaleru, O. O., Fewster Young, N., Gbashi, S., Akintola, A. T., Ramatsa, I. M., & Olubambi, P. A. (2023). A statistical analysis of recycling attitudes and behaviours towards municipal solid waste management: a case study of the University of Johannesburg, South Africa. Cleaner Waste Systems, 4(100077), 1-10.
DOI
2023 Fewster Young, N. (2023). Existence results for Caputo fractional boundary value problems with unrestricted growth conditions. Differential Equations & Applications, Volume 15(Number 2), 135-146.
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2023 Ashraf, R., Nawaz, R., Alabdali, O., Fewster Young, N., Ali, A. H., Ghanim, F., & Lupus, A. A. (2023). A new hybrid optimal auxiliary function method for approximate solutions of non-linear fractional partial differential equations. Fractal and Fractional, 7(9, article no. 673), 1-18.
DOI Scopus8
2023 Nawaz, R., Iqbal, A., Bakhtiar, H., Alhilfi, W. A., Fewster Young, N., Ali, A. H., & Potclean, A. D. (2023). A new extension of optimal auxiliary function method to fractional non-linear coupled ITO system and time fractional non-linear KDV system. Axioms, 12(9), 1-17.
DOI Scopus7 WoS4
2021 Gelsinari, S., Pauwels, V. R. N., Daly, E., Van Dam, J., Uijlenhoet, R., Fewster Young, N., & Doble, R. (2021). Unsaturated zone model complexity for the assimilation of evapotranspiration rates in groundwater modelling. Hydrology and Earth System Sciences, 25(4), 2261-2277.
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2021 Fewster Young, N. (2021). Existence results, inequalities and a priori bounds to fractional boundary value problems. Fractional Differential Calculus, 11(2), 175-191.
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2021 Bohner, M., & Fewster Young, N. (2021). Discrete fractional boundary value problems and inequalities. Fractional Calculus and Applied Analysis, 24(6), 1777-1796.
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2017 Fewster Young, N. (2017). Existence of solutions to the nonlinear, singular second order Bohr boundary value problems. Nonlinear analysis: real world applications, 36, 183-202.
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2016 Fewster Young, N. (2016). A priori bounds and existence results for singular boundary value problems. Electronic journal of qualitative theory of differential equations, 2016(17), 1-15.
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2015 Fewster Young, N. (2015). A singular Hartman inequality for existence of solutions to nonlinear systems of singular, second order boundary value problems. International journal of differential equations and applications, 14(3), 195-228.
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2014 Fewster Young, N., & Tisdell, C. (2014). Existence of solutions to derivative-dependent, nonlinear singular boundary value problems. Applied mathematics letters, 28, 42-46.
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2012 Fewster Young, N., & Tisdell, C. C. (2012). The existence of solutions to second-order singular boundary value problems. Nonlinear analysis, theory, methods and applications, 75(13), 4798-4806.
DOI

Courses I teach

  • INFS 5144 Data Wrangling and Social Media Analytics (2025)
  • INFT 4030 IT Project 1 (2025)
  • MATH 1053 Quantitative Methods for Business (2025)
  • MATH 1068 Statistical Methods (2025)
  • MATH 2028 Mathematical Methods for Engineers 3 (2025)
  • MATH 1053 Quantitative Methods for Business (2024)
  • MATH 1068 Statistical Methods (2024)
  • MATH 2028 Mathematical Methods for Engineers 3 (2024)

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