This is a Masters by Research project. Supervisors. Jade Lyons, Thomas Dowling. Project Summary. The amount of data being generated and stored globally is increasing dramatically, up to 180 zettabytes by 2025. Read more
This proposal is part of the Data-mdapps project which is a collaboration between Kingston University and the WHO European Office for the Prevention and Control of Noncommunicable Diseases (NCD Office) and focuses on addressing the challenges of developing a technical and security policy framework for digital health behavioural data processing. Read more
Background. The rise in consumer electronics ownership, such as smartphones and smartwatches, offers unique opportunities to collect granular subject-reported and passively collected research data via remote monitoring. Read more
Are you interested in applying your data science expertise in Industry 4.0 vaccine manufacturing? As part of a Wellcome LEAP project, we have an exciting opportunity for someone with a passion for the application of data science and machine learning in digital manufacturing. Read more
The Internet of Things envisions the creation of an environment where everyday objects (e.g., microwaves, fridges, cars, coffee machines) are connected to the Internet and make users’ lives more productive, efficient, and convenient. Read more
Shopping history records, collected via purchases tracked on loyalty cards, can provide a new perspective on lifestyle choices and behaviours and how these relate to health outcomes such as cancer. Read more
The ultimate goal of Semantic Web is to make the machine to understand the Internet data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) and OWL(Web Ontology Language). Read more
Artificial intelligence (AI) using machine learning (ML) is being widely used in industry such as in finance, engineering, health care, energy, chemistry, etc. Read more
One of the challenges for the future of agriculture is to sustainable increase food production, using only the same or ideally less land area, to provide the quality and quantity required to meet the needs of an increasingly affluent & growing human population and simultaneously mitigating climate change and protecting or regenerating biodiversity. Read more
The Smart Meters > Smart Homes (SMSH) Research and Innovation lab will have access to a dataset comprising energy-related data (electricity and gas consumption) alongside additional sources of data such as internal (house) temperature, location, and occupancy as well as data related to their property through the Energy Performance Certificates (EPCs). Read more
This project aims to develop computational and statistical methods for the integrated learning of biological networks from multiple sources to further our understanding of Glioblastoma Multiforme (GBM), a highly aggressive primary brain tumour for which there is currently no cure. Read more
Analysing and then pinpointing anomalies in data sequences recorded by satellites observing our Planet from outer space require to discover change points in the data sequences. Read more
The Advanced Wellbeing Research Centre (AWRC) at Sheffield Hallam University, conducts interdisciplinary activities combining health and wellbeing, and physical activity as rehabilitation and treatment in the care system. Read more
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