Targeting ERK5 to Treat Mesothelioma: A New Immunotherapy Approach?
Project Description Malignant mesothelioma (MM) has an average survival time of less than 12 months post-diagnosis. There is an urgent need to develop novel therapies to treat MM. The fundamental cell-signalling protein ERK5 represents an ideal target to achieve this. We, and others, have shown that ERK5 drives progression of mesothelioma, prostate cancer, colorectal cancer […]
Inkjet Printing of Flexible Devices for Medical Diagnosis or Energy Storage
Project Description Flexible devices such as microfluidic paper-based analytical devices (μPADs), or flexible electronic devices have recently received significant attentions as potential platforms for low-cost diagnostic assays or wearable electronics. This PhD project is to use reactive inkjet printing to fabricate flexible devices for different applications such as cancer diagnostics or energy storage etc. The […]
3D Bioprinting of Tissue Culture Scaffolds
Project Description 3D scaffolds with excellent biocompatibility, biodegradability, sophisticated 3D structures and appropriate mechanical properties are particularly desired as in vitro models in biomedical research and are highly attractive in clinical applications (e.g. as nerve guidance conduits) However, fabricating such scaffolds is challenging. In particular, the lack of precise control of 3D structures (e.g. architectures, […]
Magnetite-silk Core-shell Nanoparticles for Targeted Drug Delivery
Project Description Silk is a protein fibre produced by silkworm. It has been used for centuries because of its unique properties. Extensive research has been carried out to explore the regenerated silk fibroin (RSF) as biomaterials such as tissue culture scaffolds, wound covering materials, soft contact lens, and cosmetic components for their impressive biocompatibility and […]
An investigation into transonic flows over high pressure gas turbine blade tip
Project Description Propulsion, in particular the gas turbine engines are a significantly important theme in the aerospace industry, any enhancement in the performance of these engines will have a great impact on the economics of the aviation sector [Stephens et al, 2007]. One way to increase the performance of the gas turbine engines is to […]
The Automatic Bio Data Scientist: Using Artificial Intelligence to Automate Biomedical Modelling
Project Description Mathematical models of biological systems seek to specify the complex mechanistic relationships between many measurable quantities over space and time. However, as our capability to generate experimental data improves, our ability to conceive of appropriate mechanistic descriptions, encoded in mathematics, to describe these biological phenomena has become a bottleneck. There are now more […]
Multi-Scale Modelling of the Fatigue and Fracture of Aerospace Alloys
Project Description The drive for greater fuel efficiency is making the production of lightweight structures with adequate strength and endurance a primary concern for the aerospace industry. A damage-tolerant approach is being developed to predict the fatigue life and optimise the design of thinner parts. Cracks are allowed in parts of an aircraft but must […]
Smart Computer Models for Nuclear Reactor Design
Project Description The project is aimed at taking the advantage of the enormous potentials of the fast developing computing technology and numerical methods to develop new thermal hydraulics solutions and tools for nuclear reactor designs. This project is aimed at developing robust and high fidelity computational models to support advanced (generation IV) nuclear reactor designs […]
Study of Heat Transfer in Sodium Cooled Fast Reactor (SFR)
Project Description Sodium cooled fast reactor is one of the six advanced nuclear reactor designs that have been identified by the Generation IV International Forum (GIF) to be further developed for potential deployment by 2030. Such Gen IV reactors will represent sustainability, economics, safety and reliability. There are however still many challenges to be overcome […]
Digital Twin Railway Network
Project Description Research at Sheffield has been developing models of the railway network from a range of perspectives including smart-grid energy consumption, passenger satisfaction, and integration of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high […]
