• Image processing
• Machine learning
• Pattern recognition
• Statistical modelling
Carlos obtained his PhD in Computer Science at the University of Exeter. Afterwards he worked on various research projects at the University of Exeter and Plymouth University in collaboration with industrial partners. These projects focused on applying computational techniques (video processing, machine learning and statistical modeling) to a wide range of applications such as automatic detection of abnormal energy consumption in buildings, video tracking of dairy cows, modeling high performance storage systems and segmentation of medical images.
At the eScience Center, he has worked as an engineer in diverse projects in digital humanities and life sciences, developing expertise in natural language processing, linked open data and software sustainability. He is also a certified Software Carpentry instructor and is frequently involved in organising trainings.