A team of engineering researchers led by Dr Aristides Kiprakis have conducted a study that challenges the rules which currently govern the layout of tidal turbines.
Dr Francesco Giorgio-Serchi has worked with scientists at the University of Southampton to develop a flexible underwater robot which mimics the quick, efficient movements of squid and jellyfish - nature’s most efficient swimmers.
A collaboration between the School of Engineering, University spin-out ENIAN and the Data Lab will revolutionise the way renewables projects predict grid connection costs.
Dr Ignazio Maria Viola, Reader in the School of Engineering, has been awarded a European Research Council (ERC) Consolidator Grant, worth €2M over five years for his Dandidrone project.
A cross-disciplinary team from The Alan Turing Institute and the University of Edinburgh has placed in the top 1% of more than three thousand teams who registered for the Hateful Memes Challenge, jointly organised by Facebook AI Research and DrivenData.
An international research collaboration led by the School’s Professor Prashant Valluri and Professor Rama Govindarajan FAPS from ICTS-TIFR, Bangalore, India has made a significant breakthrough in understanding the behaviour of solid-fluid flows.
The School of Engineering enjoyed success in this year’s Scottish Green Energy Awards, with two category winners. The Universities of Edinburgh, Exeter, Strathclyde and the Scottish Association for Marine Sciences won the Contribution to Skills Award for the EPSRC and NERC Industrial CDT in Offshore Renewable Energy (IDCORE), while James Ferguson won the Young and Inspiring Award.
This month, students in the School of Engineering have been given the opportunity to apply for funding of up to £2500 for their student projects through the newly launched Engineering Student Innovation Fund.
Chemotherapy does not always treat cancer effectively and often causes major side effects, such as vomiting, pain, fatigue and hair loss. If chemotherapy agents were to be delivered directly to tumours, the side effects could be reduced and the efficacy of treatment could be enhanced.
A research project led by Dr Javier Escudero has been awarded funding by the Leverhulme Trust. The research will create new data science methods to analyse multiple time series – which are data points indexed in time order – measured by sensors located in different places.
