Nicholas Fewster-Young

Dr Nicholas Fewster-Young

Program Director

School of Mathematical Sciences

College of Sciences

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

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
2026 Ebbert, D., Mirriahi, N., Wilson, N., Korolkiewicz, M., Fewster-Young, N., Lloyd, A., . . . Dawson, S. (2026). Mind wandering in Video-Based learning: Self-Regulated learning and student responses in a naturalistic setting. Metacognition and Learning, 21(1), 6-1-6-26.
DOI
2025 Fewster-Young, N., & Jonnalagadda, J. M. (2025). USING MITTAG–LEFFLER FUNCTIONS TO IMPROVE SUFFICIENT CONDITIONS FOR THE UNIQUENESS OF SOLUTIONS TO NABLA BOUNDARY VALUE PROBLEMS. Fractional Differential Calculus, 15(1), 15-33.
DOI
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 Scopus3 WoS2
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 Scopus5 WoS5
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 Scopus7 WoS7
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 Scopus5 WoS5
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 Scopus5
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.
DOI Scopus5 WoS5
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 Scopus17 WoS11
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.
DOI WoS2
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 Scopus12 WoS7
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.
DOI Scopus8 WoS8
2021 Fewster Young, N. (2021). Existence results, inequalities and a priori bounds to fractional boundary value problems. Fractional Differential Calculus, 11(2), 175-191.
DOI Scopus1
2021 Bohner, M., & Fewster Young, N. (2021). Discrete fractional boundary value problems and inequalities. Fractional Calculus and Applied Analysis, 24(6), 1777-1796.
DOI Scopus6 WoS5
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.
DOI Scopus2 WoS1
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.
DOI Scopus1
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.
DOI
2014 Fewster Young, N., & Tisdell, C. (2014). Existence of solutions to derivative-dependent, nonlinear singular boundary value problems. Applied mathematics letters, 28, 42-46.
DOI Scopus3
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 Scopus13

Year Citation
- Ebbert, D., Mirriahi, N., Wilson, N., Korolkiewicz, M., Fewster-Young, N., Lloyd, A., . . . Dawson, S. (n.d.). Mind Wandering in Video-Based Learning: Self-Regulated Learning and Student Responses in a Naturalistic Setting.
DOI

  • Defence Innovation Partnership Collaborative Research Grant [2025-2027] (co-Lead) - Understanding environmental impacts on biofilm growth at key naval ports. Funding $150K

  • Australian University Teaching Award (AAUT) for Outstanding Contributions to Student Learning - TEAM Award Co-Lead with Corcoran, P, for First Year Transition (SSBS), UniSA, 2026.

  • UniSA Unstoppable Teaching and Learning Grant [2024-2025] (co-Lead) - Hi, I’m your bot study buddy! How can I help?’, Unisa, 2023. Funding $29,606 for 2024 to 2025.

  • Australian University Teaching Award and UniSA Citation for Outstanding Contributions to Student Learning - TEAM Award Co-Lead with Corcoran, P, for First Year Transition (SSBS), Unisa, 2023 and 2026.

  • Strategic Learning and Teaching Educational Development Grant [30K] - Personalised Learning and Feedback with Ontask, UniSA, 2017. 

  • Vice-chancellor’s award for teaching excellence, UNSW, 2013.

Courses I teach

  • MATHX105 Data Taming & Prediction (2026)
  • ICT Capstone Projects (Data Science) (2000-2026)
  • INFS 5144 Data Wrangling and Social Media Analytics (2025)
  • INFT 4030 IT Project 1 (2025)
  • MATH 1053 Quantitative Methods for Business (2016-2025)
  • MATH 1068 Statistical Methods (2016-2025)
  • MATH 2028 Mathematical Methods for Engineers 3 (2023-2025)

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Principal Supervisor Transforming Legacy Systems in Modern Technological and Government Industries through Advanced Artificial Intelligence and Machine Learning Models Doctor of Philosophy Doctorate Full Time Nilanjana Sarker
2025 Principal Supervisor Transforming Legacy Systems in Modern Technological and Government Industries through Advanced Artificial Intelligence and Machine Learning Models Doctor of Philosophy Doctorate Full Time Nilanjana Sarker

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