Here is a list of my former Ph.D. students that I was a co-supervisor:
- Luke Smallman (Oct 2015 – Mar 2019): Luke began working with me in the summer of 2014 as the recipient of a London Mathematical Society Undergraduate Research Bursary (LMS URB). His work on reweighted algorithms of SVM to treat the imbalance of slices in the SDR framework was published in Communications in Statistics – Theory and Methods. Following this, when funding became available (through funding given to us kindly by Prof. Paul Harper) to study his Ph.D. on topics related to dimension reduction for text data he started his Ph.D. on Oct 2015. Initially in his supervisory team was Dr. Jennifer Morgan (currently with NHS Delivery Unit in Bridgend) and after her departure Prof. Paul Harper joined the supervisory team. During his Ph.D. he has focused on sparse exponential family PCA algorithms (with a focus in the Poisson distribution due to its direct application to the analysis of text data). On this topic he has published two papers (Pattern Recognition 2018 and Computational Statistics 2019). A literature review on exponential family PCA was accepted in December 2021 by Journal of Statistical Theory and Practice. In his final part of his Ph.D. Luke worked on a unified framework for the development of exponential family PCA algorithms and another one on the asymptotic properties of estimating estimations relating to PCA. Luke submitted in September 2019 and he had his viva in December 2019 (Examiners: Dr. Ioannis Kosmidis (Warwick) and Dr. Jonathan Gillard (Cardiff)). His corrections were approved in March 2020. Since August 2019 he works as a Data Analyst in Admiral. Publications:
- Smallman and Artemiou (2022+) Journal of Statistical Theory and Practice.
- Smallman, Underwood and Artemiou (2020) Computational Statistics
- Smallman, Artemiou and Morgan (2018) Pattern Recognition
- Smallman and Artemiou (2017) Communication in Statistics – Theory and Methods
- Timothy Vivian-Griffiths (Oct 2013 – Mar 2017 – Medical School): Tim started his Ph.D. in the Medical School and his studies were fully funded. I was involved on his studies after October 2014 when his primary supervisor Valentina Escott-Price kindly asked me to join the supervisory team. His dissertation was on the use of machine learning techniques to identify if interactions of genes are important in identifying people who suffer from the disease. Tim’s first job after finishing his Ph.D was as a data scientist for a data consulting company. Publications:
- Vivian-Griffiths et al (2019). American Journal of Medical Genetics Part B: Neuropsychiatric Genetics.