Nelson Francisco

Nelson Francisco has extensive experience in video compression engineering and research. Nelson worked with MediaKind Global as a Principal Video Compression Engineer, where they focused on exploring the use of Deep Learning and Neural Networks for video processing applications. Nelson optimized CNN architectures for video applications and used programming languages and tools such as Python, Pytorch, and Tensorflow.

Prior to that, Nelson worked at Ericsson Television Ltd as a Senior Engineer and Research Engineer. In these roles, they designed and optimized video codecs for real-time encoders, including MPEG-2, H.264, and HEVC. Nelson also worked on machine learning and data analysis, as well as image and video standards.

Before joining Ericsson Television, Nelson worked as a Researcher at the Instituto de Telecomunicações, where they worked on research projects related to scanned document encoding algorithms.

Additionally, Nelson had a short visit to Poznan University of Technology to establish cooperation in multiview video compression research.

Earlier in their career, Nelson worked as an Assistant Professor at Instituto Politécnico de Leiria, where they taught courses in Automotive Electronics and Digital Systems.

Overall, Nelson Francisco has a strong background in video compression engineering, research, and teaching within the telecommunications field.

Nelson Francisco's education history is as follows:

Nelson Francisco completed their Ph.D. in Signal Processing at Universidade Federal do Rio de Janeiro from 2008 to 2012. Prior to that, they pursued their Master's degree in Electronics at Universidade de Trás-os-Montes e Alto Douro from 2007 to 2008. Nelson obtained their Bachelor's degree in Electrical and Electronics Engineering from Polytechnic of Leiria between 2003 and 2007.

There is no information available regarding Nelson Francisco's education prior to attending Colégio João de Barros. Additionally, they have obtained several certifications in the field of machine learning and artificial intelligence, including "Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale" from LinkedIn obtained in August 2020, "Applied Machine Learning: Algorithms" from LinkedIn obtained in July 2020, and "PyTorch Essential Training: Deep Learning" from LinkedIn obtained in June 2020.