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I joined Kingston University in 2022. A computer scientist by background, I hold a PhD in Management from Bayes Business School (formerly Cass), City, University of London. I have conducted researched on forecasting in the energy sector, forecasting Covid-19 cases, agent-based simulation of collaborative procurement and systems thinking. I have tutored and lectured engineering, business and sociology students at undergraduate and postgraduate levels on computer programming and statistics subjects.
Lecturer in Applied Data Science
Rendon-Sanchez, J. F. (2023). A reading of Alexander Bogdanov in times of crisis. Systems Research and Behavioral Science. https://doi.org/10.1002/sres.2937
Lotfi, M., Walker, H., & Rendon-Sanchez, J. (2021). Supply chains' failure in workers' rights with regards to the SDG compass: A doughnut theory perspective. Sustainability, 13(22), 12526. https://doi.org/10.3390/su132212526
Rostami-Tabar, B., & Rendon-Sanchez, J. F. (2021). Forecasting COVID-19 daily cases using phone call data. Applied soft computing, 100, 106932. https://doi.org/10.1016/j.asoc.2020.106932
Rendon-Sanchez, J. F., & de Menezes, L. M. (2019). Structural combination of seasonal exponential smoothing forecasts applied to load forecasting. European Journal of Operational Research, 275(3), 916-924. https://doi.org/10.1016/j.ejor.2018.12.013