Marc Górriz Blanch is pursuing a PhD on ‘Adaptive Content Delivery’ through a supervision collaboration between BBC Research & Development in London and the School of Electronic Engineering and the Insight Centre for Data Analytics at Dublin City University (DCU). His main research interests are video compression and artificial intelligence.
Marc graduated with an MSc degree in computer vision from the Autonomous University of Barcelona (UAB, Barcelona) in 2018. His final thesis was completed as a research visitor at Insight Center of Data Analytics (DCU) and focused on developing a deep learning solution for automatic knee osteoarthritis diagnosis from X-Ray images. The work was accepted for publication at the MIDL 2019 conference in London, UK.
Marc gained his B.Sc. in Audiovisual Systems Engineering from the Polytechnic University of Catalonia (UPC – 2017), completing his final thesis with honours at the Institut de Recherche en Informatique de Toulouse as a research visitor developing a cost-effective active learning system for melanoma segmentation of skin cancer images. The work was published in ML4H: Machine Learning for Health Workshop at NIPS 2017 in Long Beach, CA, USA.
In addition to his formal studies, Marc also gained experience as a research intern at the Image and Video Processing Group of Signal Theory and Communications Department at UPC (Nov 2017 – Apr 2018). During his internship, Marc collaborated with the Computational Biology and Complex Systems Group of the Physics Department at UPC lead. The research led to the paper ‘Leishmaniasis Parasite Segmentation and Classification using Deep Learning’, which was published in AMDO 2018 Workshop in Palma de Mallorca, Spain.