Matthew Shere

Matthew Shere has a wealth of work experience, beginning with their role as a Software Developer at the Met Office from 2012 to 2021. During this time, they were responsible for creating and collaborating on high load, high availability, and high confidentiality systems. Matthew was also involved in organizing the Met Office Science Camp events and was awarded an Excellence Award for their work.

From 2021 to 2022, Shere worked as a Computer Vision Researcher at Fuel3D, where they were tasked with improving the accuracy of a computer vision-based skin tumour measurement device. Matthew also analysed captured data from test subjects and worked on a TensorFlow-based deep learning classifier for tumour size from dual RGB/thermal data.

From 2022 onward, Shere has been a Research Engineer at both RADAR and LiveControl. At RADAR, they are responsible for Computer Vision research, while at LiveControl they are responsible for designing and testing an automated person tracking algorithm for use with generic Pan, Tilt, Zoom cameras in a variety of scene conditions. Matthew has collaborated with teams across the US and Mexico to implement this algorithm, which has shown good performance in multi-person scenes across a wide range of lighting configurations.

Matthew Shere completed a Doctor of Philosophy - PhD in Computer Vision from the Centre for Vision, Speech and Signal Processing at University of Surrey from 2016 to 2021. Prior to that, they obtained a Master's degree in Computer Science from the University of Exeter from 2008 to 2012.