Dr Timofei Bogomolov

Lecturer, Mathematical Sciences

School of Mathematical Sciences

College of Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

I am a lecturer in Data Science and Business Intelligence. My research and teaching interests are in applications of advanced data analysis to support evidence-based decision making in business, governance, defence, health.

Year	Citation
2021	Anesbury, Z. W., Jürkenbeck, K., Bogomolov, T., & Bogomolova, S. (2021). Analyzing proprietary, private label, and non-brands in fresh produce purchases. International Journal of Market Research, 63(5), 597-619. DOI Scopus13 WoS14
2021	Bogomolova, S., Carins, J., Dietrich, T., Bogomolov, T., & Dollman, J. (2021). Encouraging healthier choices in supermarkets: a co-design approach. European Journal of Marketing, 55(9), 2439-2463. DOI Scopus28 WoS27
2020	Ben-Tovim, D., Bogomolov, T., Filar, J., Hakendorf, P., Qin, S., & Thompson, C. (2020). Hospital’s instability wedges. Health Systems, 9(3), 202-211. DOI Scopus2 WoS1 Europe PMC1
2020	Anesbury, Z. W., Talbot, D., Day, C. A., Bogomolov, T., & Bogomolova, S. (2020). The fallacy of the heavy buyer: exploring purchasing frequencies of fresh fruit and vegetable categories. Journal of Retailing and Consumer Services, 53(101976), 1-9. DOI Scopus22 WoS22
2019	Bogomolova, S., Anesbury, Z., Lockshin, L., Kapulski, N., & Bogomolov, T. (2019). Exploring the incidence and antecedents of buying an FMCG brand and UPC for the first time. Journal of retailing and consumer services, 46, 121-129. DOI Scopus8 WoS8
2017	Qin, S., Thompson, C., Bogomolov, T., Ward, D., & Hakendorf, P. (2017). Hospital occupancy and discharge strategies: a simulation-based study. Internal Medicine Journal, 47(8), 894-899. DOI Scopus25 WoS21 Europe PMC12
2016	Bogomolova, S., Vorobyev, K., Page, B., & Bogomolov, T. (2016). Socio-demographic differences in supermarket shopper efficiency. Australasian marketing journal, 24(2), 108-115. DOI Scopus14 WoS12
2013	Bogomolov, T. (2013). Pairs trading based on statistical variability of the spread process. Quantitative Finance, 13(9), 1411-1430. DOI Scopus31
2013	Bogomolov, T., Liu, L., & Kalev, P. S. (2013). Can time difference deter arbitrage opportunities?. The journal of asset management, 14(2), 79-94. DOI Scopus1

Year	Citation
2022	Bogomolov, T., Korolkiewicz, M. W., & Bogomolova, S. (2022). Identifying patterns in fresh produce purchases: the application of machine learning techniques. In Source details - Title: Research Anthology on Machine Learning Techniques, Methods, and Applications (pp. 817-847). US: IGI Global. DOI
2020	Bogomolov, T., Korolkiewicz, M. W., & Bogomolova, S. (2020). Identifying patterns in fresh produce purchases: the application of machine learning techniques. In F. P. G. Marquez (Ed.), Source details - Title: Handbook of Research on Big Data Clustering and Machine Learning (pp. 378-408). US: IGI-Global. DOI

Year	Citation
2023	Tiong, J. K. R., Bogomolov, T., & Chiera, B. A. (2023). Markov chain modelling of causality in anomalous and non-anomalous combat event series. In Proceedings of the International Congress on Modelling and Simulation, MODSIM (pp. 953-959). Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2021	Garces, L. P. D. M., Bogomolov, T., & Chiera, B. A. (2021). Regression-based approaches for simulation meta-modelling in the presence of heterogeneity and correlation. In Proceedings of the International Congress on Modelling and Simulation, MODSIM (pp. 827-833). Australia: Modelling and Simulation Society of Australia and New Zealand. DOI
2017	Bogomolov, T., Filar, J. A., Luscombe, R., Nazarathy, Y., Qin, S., Swierkowski, P., & Wood, I. (2017). Size does matter: a simulation study of hospital size and operational efficiency. In Proceedings of the International Congress on Modelling and Simulation (MODSIM2017) (pp. 1274-1280). Australia: Modelling and Simulation Society of Australia and New Zealand. Scopus1
2013	Bogomolov, T., & Chiera, B. A. (2013). A first approach to resolving ambiguity in hidden terrorist group detection in communications networks. In J. Piantadosi, R. S. Anderssen, & J. Boland (Eds.), Modsim 2013 - Proceedings of the 20th International Congress on Modelling and Simulation (pp. 120-126). Australia: Modelling and Simulation Society of Australia and New Zealand Inc..

Courses I teach

COMP 2032 Data Analytics using R (2025)
COMP 5070 Statistical Programming for Data Science (2025)
INFS 5096 Customer Analytics in Large Organisations (2025)
COMP 2032 Data Analytics using R (2024)
COMP 5070 Statistical Programming for Data Science (2024)
INFS 5096 Customer Analytics in Large Organisations (2024)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2022	Co-Supervisor	Sample efficient hierarchical reinforcement learning for simulation	Doctor of Philosophy	Doctorate	Part Time	Mr Kevin Coburn
2021	Co-Supervisor	Modelling of the dispersion of lead in air, subsequent deposition and estimating recontamination rates in a community with an operational lead smelter	Doctor of Philosophy	Doctorate	Part Time	Ms Razia Zahina Zariff
2021	Co-Supervisor	Determining the casual relationshop between competing elements of military options	Doctor of Philosophy	Doctorate	Part Time	Ms Junia Ruey Tiong

Position: Lecturer, Mathematical Sciences
Email: timofei.bogomolov@adelaide.edu.au

Dr Timofei Bogomolov

Dr Timofei Bogomolov

Courses I teach

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Dr Timofei Bogomolov

Dr Timofei Bogomolov

Journals

Book Chapters

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Courses I teach

Current Higher Degree by Research Supervision (Adelaide University)

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