2019 – 2020: Mr Ramamoorthy Rangasamy (LinkedIn) – Completed 2020 Topic: Plastic waste Industry: An overview on optimization of plastic recycling industry in the United Kingdom
MSc Students
MSc supervision – Ms Cinzia Petio – Completed 2020
2019 – 2020: Ms Cinzia Petio (LinkedIn) – Completed 2020 Topic: Application of Data Mining to a Communication Service Provider
MSc supervision – Ms Chiao-An Chang – Completed 2020
2019 – 2020: Ms Chiao-An Chang – Completed 2020 Topic: Performance analytics about Biotechnology Companies in Taiwan: An application of DEA and Malmquist Productivity Index
MSc supervision – Mr Louay Dayoub – Completed 2020
2019 – 2020: Mr Louay Dayoub (LinkedIn) – Completed 2020 Topic: The Use Of Smart Meter Data Analytics For Demand Side Response Planning
MSc supervision – Mr David Thompson – Completed 2019
2018 – 2019: Mr David Thompson (LinkedIn) – Completed 2019 Topic: Violent Video Games and Crime in the United States: Using Data Mining and Analytics to Assess Whether a Significant Statistical Relationship Exists
MSc supervision – Ms Eunhyeong Lee – Completed 2018
2017 – 2018: Ms Eunhyeong Lee (LinkedIn) – Completed 2018 Topic: Visualizing business model in UK by time and district: use of Github and JavaScript
MSc supervision – Mr Vishal Panchmatia – Completed 2017
2016 – 2017: Mr Vishal Panchmatia (LinkedIn) – Completed 2017 Topic: A Clustering Approach to the Analysis of Smart-Meter Data and Its Residential Implications
MSc supervision – Ms Sakina Jiwa – Completed 2016
2015 – 2016: Ms Sakina Jiwa (LinkedIn) – Completed 2016 Topic: Determining whether number of businesses registered would affect house prices within the same postcode in the UK
MSc supervision – Ms Keerthi B Nair – Completed 2016
2015 – 2016: Ms Keerthi B. Nair (LinkedIn) – Completed 2016 Topic: Developing predictive models for detection of students at risk of drop-out
MSc supervision – Ms Tanja Baur – Completed 2014
2013 – 2014: Ms Tanja Baur (LinkedIn) – Completed 2014 Topic: An investigation into the potential impact of Open Data on Supply Chain Management; within the transportation sector