Dr Emmanouil Benetos, Reader in Machine Listening & Director of Research at the School of Electronic Engineering and Computer Science, and DERI Fellow has been awarded one of seven Leverhulme Trust Research Fellowships awarded to support engineering research with benefits for society and economy.
The Royal Academy of Engineering has awarded its prestigious Leverhulme Trust Research Fellowships to seven outstanding engineering researchers working on a wide variety of engineering challenges.
Fellowships funded range from the development of new superabsorbent materials and improved machine listening technologies to faster quantum computing and communication networks. Awardees are also using computational modelling to in fields as diverse as the clinical treatment of tremors or joint degeneration resulting from haemophilia to improving the integrity of materials used in the aerospace industry.
The Fellowships, which are supported by the Leverhulme Trust, allow awardees to focus on full-time research for up to a year by covering the costs of a replacement academic to take over their teaching and administrative duties. This allows mid-career engineers to reinvigorate their research interests and also gives other junior academics the opportunity to gain valuable teaching and administrative experience by stepping in during the duration of the award.
Professor Anne Trefethen FREng, Chair of the RAEng / Leverhulme Trust Research Fellowships panel said: "I am delighted to see such a wide range of research covered by this year's awardees and that we’re able to support such outstanding individuals across the UK from Scotland to Southampton. These research projects have the potential to deliver substantial benefits to society and the economy and I hope our support will help them to be realised."
Dr Benetos' research focuses on computational audio analysis, also referred to as machine listening or computer audition - applied to music, urban, everyday and nature sounds. Through the Fellowship, Dr Benetos aims to develop computational systems for sound analysis, investigating and developing models that can learn and rapidly adapt. Please see further details on the Royal Academy of Engineering's webpages.
The full list of 2023/24 RAEng/Leverhulme Trust Research Fellows can be found on the Royal Academy of Engineering's website.