Data Science Research Group
Data Science is an interdisciplinary field that utilises computing technology to derive obvious and non-obvious relationships in data by developing the appropriate scientific algorithms and implementation of these methods to extract useful knowledge or insights from the data. The focus of the Data Science Research Group at Kent is to apply the techniques such as signal processing, machine learning, security and statistics in an impactful manner to benefit the wider public. Our research is cross-disciplinary involving schools such as Business, Computing, Engineering, Pharmacy, Psychology, Sociology and Sports Science.
Areas of Research Activity
Members are engaged in the following areas of research:
- Biomedical signal analysis for applications such as affective and brain-computer-interfacing, biometrics, cardiovascular diagnosis, mental disorders (minimally conscious, Parkinson etc) and virtual reality;
- Financial econometrics and time-series modelling and forecasting such as the estimation of declining social discount rate for intergenerational cost-benefit analysis;
- Speech and audio signal processing with embedded system designs for applications related to hearing and communications;
- Computational intelligence techniques (like ant colony optimisation, evolutionary algorithms and artificial neural networks) for business-related problems such as weather derivative and algorithmic trading;
- Supervised machine learning algorithms to analyse biological data such as the biology of ageing and pharmacokinetics;
- Computational creativity, semantic web, and natural language processing for applications such as music informatics, digital humanities and knowledge modelling;
- Memristor technology for data storage, cloud and green computing;
- Parallel and stream data processing;
- Cryptology, steganography and steganalysis.
- Jan 2017: Dr Srivas Chennu provided expert commentary to ITV News at Ten about a high-profile study on a new brain-computer interfacing technology that enabled communication with completely locked-in patients.
- Dec 2016: BBC Radio 4 commisioned a documentary highlighting our research into developing bedside assessment for patients in vegetative and minimally conscious states. Listen to it here!
- Dec 2016: Dr Ramaswamy has delivered two courses on biomedical signals to colleagues in two Indian universities as part of an initiative to elevate India’s scientific and technological capacity to global excellence. For details, see here.
- Oct 2016: Dr Anna Jordanous’s work on modelling creativity (with Bill Keller, published in PLOS ONE) has been featured in articles on the World Economic Forum website, as well as news sources such as La Repubblica (Italy) DeMorgen (Belgium), Atlantico (France) and other media outlets such as the Psychology today blog. For details, see here
- July 2016: Professor Ian McLoughlin publishes, Speech and Audio Processing: a Matlab-based approach, Cambridge University Press, July 2016, ISBN 978-1107085466