Skip to main content
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, Juan F. (2023) A reading of Alexander Bogdanov in times of crisis. Systems Research and Behavioral Science, ISSN (print) 1092-7026 (Epub Ahead of Print)
Rostami-Tabar, Bahman, Arora, Siddharth, Rendon-Sanchez, Juan F. and Goltsos, Thanos E. (2023) Probabilistic forecasting of daily COVID-19 admissions using machine learning. IMA Journal of Management Mathematics, ISSN (print) 1471-678X (Epub Ahead of Print)
Lotfi, Maryam, Walker, Helen and Rendon-Sanchez, Juan (2021) Supply chains' failure in workers' rights with regards to the SDG compass : a doughnut theory perspective. Sustainability, 13(22), p. 12526. ISSN (online) 2071-1050
Rostami-Tabar, Bahman and Rendon-Sanchez, Juan F. (2021) Forecasting COVID-19 daily cases using phone call data. Applied Soft Computing, 100, p. 106932. ISSN (print) 1568-4946
Rendon-Sanchez, Juan F. and de Menezes, Lilian M. (2019) Structural combination of seasonal exponential smoothing forecasts applied to load forecasting. European Journal of Operational Research, 275(3), pp. 916-924. ISSN (print) 0377-2217