Dr Simon Caton
My areas of research reside within the domains of Social Media Mining, Social Computing, Big Data, Machine Learning, and Scalable Analytics.
I am currently looking for strong PhD candidates that have interest in pursuing research in these areas as well as applicable related domains. Potential candidates should outline their motivations for pursuing a research career, comprehensively outline the area(s) of work they would like to explore including expected outcomes, and describe any prior research experience (e.g. if you have undertaken a Bachelors/Masters thesis).
- Caton, S., Venugopal, S., Velamuri, V.S. and Katrinis, K., 2018, July. Dynamic Model Evaluation to Accelerate Distributed Machine Learning. In 2018 IEEE International Congress on Big Data (BigData Congress) (pp. 150-157). IEEE. [link]
- Hall, M., Mazarakis, A., Chorley, M. and Caton, S., 2018. Editorial of the Special Issue on Following User Pathways: Key Contributions and Future Directions in Cross-Platform Social Media Research. [link]
- McNally, S., Roche, J. and Caton, S., 2018, March. Predicting the price of Bitcoin using Machine Learning. In Parallel, Distributed and Network-based Processing (PDP), 2018 26th Euromicro International Conference on (pp. 339-343). IEEE. [link]
- Hall, M. and Caton, S., 2017. Am I who I say I am? Unobtrusive self-representation and personality recognition on Facebook. PloS one, 12(9), p.e0184417. [link]
- Caton, S., Hall, M. and Weinhardt, C., 2015. How do politicians use Facebook? An applied social observatory. Big Data & Society, 2(2). [link]