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  Real-time data fusion algorithms for internet of things (Advert Reference: RDF18/CIS/JIN)


   Faculty of Engineering and Environment

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  Dr N Jin  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Many engineering sectors have been undertaking ‘digital transformation’. For example, the smart grid, as a cyber-physical system, is enabling Internet of things (IoT) which has been significantly changing the ways of managing electricity production and consumption.
An application of IoT is a multi-sensor dynamic system, where a rich variety and a huge number of devices, sensors, smart objects and meters are connected to internet. They are generating a huge amount of data, from heterogeneous sources, arriving at a high speed. To analyse data jointly, timely and effectively, to discovery new knowledge and insights, and to comprehend and enrich our understanding to the dynamics of IoT are vital to the management of IoT systems in the future.

This PhD project will achieve this goal through pioneering and harnessing the state-of-art ICT technologies, such as data mining, machine learning and data fusion. The scientific advances will be applied to solve real world engineering problems.

Eligibility and How to Apply:
Please note eligibility requirement:
• Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
• Appropriate IELTS score, if required.
• Applicants cannot apply for this funding if currently engaged in Doctoral study at Northumbria or elsewhere.

For further details of how to apply, entry requirements and the application form, see:
https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/

Please note: Applications that do not include a research proposal of approximately 1,000 words (not a copy of the advert), or that do not include the advert reference (e.g. RDF18/…) will not be considered.

Deadline for applications: 28 January 2018

Start Date: 1 October 2018

Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community. The University holds an Athena SWAN Bronze award in recognition of our commitment to improving employment practices for the advancement of gender equality and is a member of the Euraxess network, which delivers information and support to professional researchers.

Funding Notes

The studentship includes a full stipend, paid for three years at RCUK rates (for 2017/18, this is £14,553 pa) and fees.

References

A Bagley, G Fehringer, N Jin, S Cammish: Live Video Transmission over Data Distribution Service with Existing Low-Power Platforms. International Conference on Internet of Things Data, and Cloud Computing, ACM, 2017

Nanlin Jin, Richard Jiang, Pervasive Sensory Data Fusion in Internet of Things for Smart Homes, The second workshop of Employing Information and Communications Technologies in Homes and Cities for the Health and Well-Being of Older People (ICT4HOP '17), British Council Researcher Links, 2017

Reem Al-Otaibi, Nanlin Jin, Tom Wilcox, Peter Flach: Feature Construction and Calibration for Clustering Daily Load Curves from Smart Meter Data. Vol 12 issue 2, IEEE Trans. Industrial Informatics, 2016, Impact factor 6.7

Nanlin Jin, Peter Flach, Tom Wilcox, Royston Sellman, Joshua Thumim, Arno J. Knobbe: Subgroup Discovery in Smart Electricity Meter Data. IEEE Trans. Industrial Informatics 10(2): 1327-1336 (2014), Impact factor 6.7.

Where will I study?