Grant winners – 7 April 2016

A round-up of recent recipients of research council cash

April 7, 2016
Grant winners tab on folder

Engineering and Physical Sciences Research Council

Research grants

Integration of rf circuits with high-speed GaN switching on silicon substrates

Smart online monitoring for nuclear power plants (SMART)

Geodesics, extension of holomorphic functions and the spectral theory of multi-operators

Preliminary design study for a benchtop, cryogen-free FTICR mass spectrometer

National Institute for Health Research

Health Technology Assessment programme

Comprehensive ascertainment of bleeding in patients prescribed different combinations of dual antiplatelet therapy after coronary interventions in the UK: a population-based cohort study

Statin web-based investigation of side-effects trial (Statin WISE trial)

TANDEM: Tailored intervention for anxiety and depression management in chronic obstructive pulmonary disease – a tailored, psychological intervention for mild to moderate anxiety or depression in people with COPD

Medical Research Council

Research grants

  • Award winner: Christiana Ruhrberg
  • Institution: University College London
  • Value: £564,176

Defining a novel molecular mechanism in VEGF-induced vascular hyperpermeability

Development of a multi-level and mixture-model framework for modelling epigenetic changes over time

Evaluating the role of fiscal policy in improving diets and preventing chronic disease in Chile: impact evaluation and modelling

In detail

Royal Society of Edinburgh/National Science Foundation of China (joint project grant)

Award winner: Pablo Casaseca
Institution: University of the West of Scotland
Value: £22,000 (exchange grant)

Flood detection and monitoring using hyperspectral remote sensing from unmanned aerial vehicles

Academics from the University of the West of Scotland and Zhejiang University in China will collaborate in research that could significantly advance flood monitoring and prevention. The team will develop efficient, unmanned aerial vehicle-based (UAV) hyperspectral imaging technology for automatic flood monitoring and prevention. The imaging processing techniques will monitor water level changes, calculate an admissible path for a UAV to sample the sensing field efficiently, and define new protocols and communication systems for transmission of the image data. Such a system will benefit society and the wider economy.

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