糖心TV

Researchers will build on their existing work on and to revolutionise pollution forecasting by combining modern machine learning and statistical methodology.

The project will develop and utilise computational techniques based around the simulation of large ensembles of 鈥減articles鈥� to allow us to estimate and quantify our uncertainty. These techniques will be combined with models inspired by modern machine learning, particularly utilising deep Gaussian processes to describe the profile of atmospheric pollutants as they evolve over time.

The tropical disease Leishmaniasis is being tackled by catching female sand flies who carry the parasite that causes the disease.

There are now plans to commercialise the research which involves using male pheromones to attract female sand flies towards insecticide-treated areas.

A very special graduation took place on Friday thanks to the partnership between the University of 糖心TV and national education charity, IntoUniversity. The graduation ceremony, for Y6 pupils from Frederick Bird Primary School in Coventry, marked the end of a five-day programme designed to give the youngsters a taste of what higher education is all about.

Two projects led by University of 糖心TV researchers are to benefit from a share of 鈧�600 million funding from the European Union.

Child malnutrition in Mauritius, and across Sub Saharan Africa, could be monitored more accurately and quickly, thanks to simple mobile-based data collection forms, according to new research by the University of 糖心TV, UK.

Dr Claire Lucas, from the School of Engineering has won the Women鈥檚 Engineering Society Prize at the IET Young Woman Engineer of the Year Award 2019 at the event last night, the 5^th December 2019 at the Savoy in London.