Lottie has had a great tour of IMPACT this year!
This week she has shadowed Dr Cinzia Giannetti, Dr Claire Barnes and Professor Serena Margadonna learning about Industry 4.0, microfluidics and battery creation.
Every year the Women’s Engineering Society Young Members’ Board (YMB) organises a ‘Lottie Tour’ as a way to capture the interest of a younger engineering audience by showing current engineers giving Lottie Dolls a tour of their workplace – to demonstrate how varied and exciting it is to work in engineering!
Professor Serena Margadonna was recently named in The Guardian as one of the 2022’s Top 50 Women in Engineering: Inventors and Innovators by the Women’s Engineering Society (WES). The annual WE50 awards take place on International Women in Engineering Day and celebrate the best, brightest and bravest women in engineering. The WES award celebrates women who can demonstrate the creation or improvement of a product or process that makes a difference.
Serena has been recognised due to her current role focusing on developing materials and processes for the sustainable manufacturing and recycling of secondary batteries. In collaboration with ENSERV Power – a global battery technology developer – she is enabling the commercialisation of next-generation zero-excess anode-free sodium-ion batteries.
Dr Cinzia Giannetti has worked collaboratively with a number of large manufacturer’s within the UK. Through her EPSRC Fellowship programme she pioneered the application of Deep Learning to Smart Factories. Her research developments have been used to optimise manufacturing processes, enabling partner organisations to reduce inefficiencies and waste and therefore leading to more sustainable processes.
Cinzia was recently named as one of the Top 100 Women in Engineering by the Women’s Engineering Society (WES)!
Dr Claire Barnes specialises in the analytics of Human Centred data focusing on the use of various methods to transform both structured and unstructured data into actionable knowledge, enabling the end-user to gain insight from vast data sets. The use of BioImaging analysis together with machine learning techniques on large scale, high throughput cellular and molecular images, has been her most recent area of research.
