Raúl Mohedano
About Raúl Mohedano
Raúl Mohedano is a Patent Examiner specializing in Computer Vision and Image Processing at the European Patent Office. He has a strong academic background in mathematics and engineering, with experience in research and advancements in Neural Machine Translation.
Work at European Patent Office
Raúl Mohedano has been employed at the European Patent Office (EPO) since 2016, where he serves as a Patent Examiner specializing in Computer Vision and Image Processing. His role involves evaluating patent applications and ensuring compliance with patent laws and regulations. Mohedano previously worked as a Data Scientist focusing on Neural Machine Translation at the EPO from 2021 to 2022. His experience at the EPO has allowed him to apply his expertise in advanced technologies and contribute to the field of intellectual property.
Education and Expertise
Raúl Mohedano holds a Doctor of Philosophy (PhD) in Telecommunication Engineering from Universidad Politécnica de Madrid, which he completed from 2007 to 2014. He also earned a Master in Electrical Engineering (Ingeniero de Telecomunicación) from the same institution between 2000 and 2006. Additionally, he obtained a Bachelor of Science (BSc) in Mathematics from Universidad Complutense de Madrid, studying from 2007 to 2012. His strong background in mathematics has equipped him with a deep understanding of state-of-the-art technologies in computer vision and image processing.
Background
Before joining the European Patent Office, Raúl Mohedano worked at Universidad Politécnica de Madrid as a Postdoctoral Researcher from 2014 to 2016 and as a PhD Candidate/Researcher from 2007 to 2014. His research during these years focused on advancements in computer vision and image processing, contributing to his expertise in the field. Mohedano has witnessed the evolution of Computer Vision and Artificial Intelligence, particularly through the adoption of new algorithmic paradigms such as Deep Learning and Big Data.
Achievements in Neural Machine Translation
Raúl Mohedano has contributed to advancements in Neural Machine Translation by developing patent language translation models based on Transformers. This work reflects his commitment to improving the efficiency and accuracy of translation processes within the context of patent applications. His contributions in this area demonstrate his ability to integrate cutting-edge technology with practical applications in intellectual property.