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integrated process technology for the production of nanocellulose fibres, lignin, and cellulase enzymes from agricultural wastes such as cereal straws (oat, wheat and other lignocellulosic substrates
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, JG, Harper, R & Martin, S 2015, 'The Journey towards Successful Research in a Diabetes Clinic:Expectations vs. Reality', Journal of Health and Medical Informatics, vol. 6:5. https://doi.org/10.4172
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. This project is a 4-year PhD project with enhanced training and 3+ month placement, which is fully funded by UKRI BBSRC through the NI Landscape Partnership in AI for Bioscience (NILAB) Programme, delivered by
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, K., Fan, H., Wu, Y., & Xu, D. (2022). "Masked Image Modeling for Self-Supervised Learning of Visual Features." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR
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a smart 3D printing/additive manufacturing technology through computer vision, machine learning and Digital Twin (DT). Digital twin implementation will provide a benefit such as real-time monitoring
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., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2022). Modelling mobile-based technology adoption among people with dementia. Personal and Ubiquitous Computing, 26(2), 365-384. [3] Chaurasia, P., McClean
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Join the PhD programme in Artificial Intelligence at Ulster University’s School of Computing, where we are leading research that transforms how people interact with technology and improves lives. As
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of engineering, computing, data science and healthcare. The programme consists of four themes, covering all disease areas: Diagnostic and prognostic indications Treatment and care optimisation Disease tracking
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, X., Hu, Q. and Wang, S., 2020. Privacy-preserving model training architecture for intelligent edge computing. Computer Communications, 162, pp.94-101. 3. Zhang, L., Xu, J., Vijayakumar, P., Sharma
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, computer science, mathematics, biology, or related fields. While computational modelling experience is beneficial, we value analytical ability and enthusiasm above all. The ideal candidate will be driven by a desire