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Dr Christopher Bayliss BSc, PhD

Visiting Research Fellow

Christopher Bayliss is a visiting Research Fellow in the CORMSIS research group at the University of Southampton.

He graduated from the University of Derby with a first in Mathematical Studies in 2011. Then he studied for his PhD at the University of Nottingham in the school of Computer Science and passed his viva in 2015. Thesis title: Airline Reserve Crew Scheduling Under Uncertainty. He joined the University of Southampton in 2015 and is currently a Research Fellow for a Vehicle Ferry Revenue Management research project.

Research

Publications

Contact

Research interests

Mathematical modelling, Operational Research, Optimisation, Heuristics, Airline Scheduling, Modelling Uncertainty, Machine Learning

Research project

Vehicle Ferry Revenue Management

Research group

CORMSIS

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Articles

Martinez Sykora, A., So, M., Currie, C., Bayliss, C., & Bennell, J. (2021). Optimizing pricing and packing of variable-sized cargo. IMA Journal of Management Mathematics, 32(3), 303-327. https://doi.org/10.1093/imaman/dpaa021, https://doi.org/10.1093/imaman/dpaa021
Bayliss, C., Currie, C., Bennell, J. A., & Martinez Sykora, A. (2019). Dynamic pricing for vehicle ferries: using packing and simulation to optimize revenues. European Journal of Operational Research, 273(1), 288-304. https://doi.org/10.1016/j.ejor.2018.08.004
van de Geer, R., den Boer, A. V., Bayliss, C., Currie, C., Ellina, A., Esders, M., Haensel, A., Lei, X., Maclean, K. D. S., Martinez Sykora, A., Nilsen Riseth, A., Odegaard, F., & Zachariades, S. (2018). Dynamic pricing and learning with competition : Insights from the Dynamic Pricing Challenge at the 2017 INFORMS RM & Pricing Conference. Journal of Revenue and Pricing Management, 1-19. https://doi.org/10.1057/s41272-018-00164-4
Bayliss, C., Atkin, J. A. D., De Maere, G., & Paelinck, M. (2017). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty. Annals of Operations Research, 252(2), 335-363. https://doi.org/10.1007/s10479-016-2174-8

Conferences

Nieto, A., Juan, A. A., Bayliss, C., & Kizys, R. (2021). Asset and liability management in insurance firms: A biased-randomised approach combining heuristics with monte-carlo simulation. In M. Fakhimi, T. Boness, & D. Robertson (Eds.), Operational Research Society 10th Simulation Workshop, SW 2021 - Proceedings (pp. 405-414). (Operational Research Society 10th Simulation Workshop, SW 2021 - Proceedings). Operational Research Society. https://doi.org/10.36819/SW21.044
So, M., Currie, C., & Bayliss, C. (2018). Measuring customer lifetime value with a zero-inflated inverse Gaussian model. In European Conference on Operational Research
Bayliss, C., Bennell, J. A., Currie, C., Martinez Sykora, A., & So, M. (2017). Dynamic pricing in the vehicle ferry industry. In INFORMS Revenue Management and Pricing Conference
Bayliss, C., Martinez Sykora, A., Currie, C., So, M., & Bennell, J. A. (2017). Exact and heuristic approaches to the vehicle ferry revenue management problem. In 2017 INFORMS Computing Society Conference
Bayliss, C., Bennell, J. M., Currie, C. S. M., Martinez-Sykora, A., & So, M. (2016). A Simheuristic approach to the vehicle ferry revenue management problem. In 2016 Winter Simulation Conference (WSC) (pp. 2335-2346). IEEE. https://doi.org/10.1109/WSC.2016.7822274

Dr Christopher Bayliss
Building 54 Mathematical Sciences University of Southampton Highfield Southampton SO17 1BJ

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