Dr S Goo, Dr K Goh, Mr Chee Wee Tan
No more applications being accepted
About the Project
While on a day-to-day basis most areas of the NHS are running perfectly well, we are starting to see signs of strain the system is under in areas such as hospital care, A&E and GP services. Due to an ageing population, rising operation cost and various lifestyle factors, NHS will anticipate even bigger challenges in providing desirable and substainable health care for everyone.
This project will study and prioritise social/ health care issues such as mental health and aftercare before it explores a novel solution based on Internet of Thing (IoT) technology. In order to make the care services smarter and personalised, the project will also incorporate latest machine learning algorithm.
The focus will be given to the Scottish National Heath Service study.
Academic qualifications
A first degree (at least a 2.1) ideally in either computing or engineering discipline with a good fundamental knowledge of IoT, cloud services and statistic modelling.
English language requirement
IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components.) Other, equivalent qualifications will be accepted. Full details can be found here https://www.napier.ac.uk/research-and-innovation/research-degrees/application-process
Essential attributes:
• Experience of fundamental mathematical modelling skills.
• Competent in scripting and data query languages.
• Knowledge of IoT and database system.
• Good written and oral communication skills.
• Strong motivation, with evidence of independent research skills relevant to the project.
• Good time management.
Desirable attributes:
Competency in data processing and modelling.
Funding Notes
This is a self-funded position. Home/EU and Overseas students are welcome to apply.
References
Prabha Sundaravadivel; Elias Kougianos; Saraju P. Mohanty; Madhavi K. Ganapathiraju. Everything You Wanted to Know about Smart Health Care: Evaluating the Different Technologies and Components of the Internet of Things for Better Health. IEEE Consumer Electronics Magazine 2018. Vol: 7, Issue: 1, pp. 18 – 28.
Hamza Baali; Hamza Djelouat; Abbes Amira; Faycal Bensaali. Empowering Technology Enabled Care Using IoT and Smart Devices: A Review. IEEE Sensors Journal 2018. Vol: 18, Issue: 5, pp. 1790 – 1809.
Po Yang; Dainius Stankevicius; Vaidotas Marozas; Zhikun Deng; Enjie Liu; Arunas Lukosevicius; Feng Dong; Lida Xu; Geyong Min. Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2018. Vol: 48, Issue: 1, pp. 50 – 64.
B. Jones, S. Spurgeon, M. Pont, J. Twiddle, C. Lim, C. Parikh and K. Goh, “Aspects of diagnostic schemes for biomedical and engineering systems”, IEE Proceedings, Vol. 147, Issue 6, pp. 357-362.
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