Grant winners - 16 May 2013

五月 16, 2013

Action Medical Research

Research Grants

  • Award winner: Doris-Eva Bamiou
  • Institution: University College London
  • Value: £19,140

Auditory processing disorders: why do some children struggle to make sense of what they can hear?

  • Award winner: Helen Cross
  • Institution: Institute of Child Health, London
  • Value: £123,892

Epilepsy in children: studying sleep and memory


Leverhulme Trust

Research Leadership Awards

Natural product drug discovery: design and development of novel Trypanosoma brucei inhibitors

Man, mantis and machine: the computation of 3D vision

Research Project Grants

  • Award winner: Giovanni Verri
  • Institution: University College London
  • Value: £156,792

Photoluminescence imaging and spectroscopy of painting and conservation material

The role of the human midbrain in response preparation

Liquid quasicrystals and their approximants


The transformation of Gaelic Scotland in the 12th and 13th centuries

Major Research Fellowships

British art, archaeology and the discovery of ancient Egypt

Philip Leverhulme Prizes
Earth, ocean and atmospheric sciences

Vertebrate palaeontology and evolution


In detail

Engineering and Physical Sciences Research Council

Award winner: Ian Glover
Institution: University of Huddersfield
Value: £670,000

Scalable non-invasive radiometric wireless sensor network for partial discharge monitoring in the future smart grid

When the insulation of cables and other power equipment at substations becomes old or damaged, it radiates microwave energy. Traditionally, this partial discharge has been detected by a technician walking the substation with a radio receiver. Such detection methods are insufficient because “equipment can degrade very quickly” and, in the worst cases, can explode, said Ian Glover, who has been appointed professor of radio science and wireless systems engineering in conjunction with this grant. He will lead the project, which aims to develop principles for centrally monitored wireless sensor networks. “You get a quicker diagnosis and it means you can move from planned maintenance to condition-based maintenance,” he said. “You don’t have to maintain everything quite so often if its health is being measured all the time.” This would produce savings and reduce the likelihood of power cuts.



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