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Doctor Carlos Moreno-Garcia
Senior Lecturer (A)
|Biography||Dr Moreno-Garcia is Senior Lecturer in Computing at RGU. He studied a Bachelor in Electronic Engineering (Major in Telecommunications) at Tecnologico de Monterrey, Mexico City, Mexico (TEC CCM). After a tenure of two years as a collaborator for the "Center of Investigation in Mechanics and Biodesign" (CIMB) research group led by Prof. Rogelio Bustamante-Bello, he was awarded a Master's degree in Information Security and Intelligent Systems at Universitat Rovira i Virgili (URV) in Tarragona, Catalonia, Spain.
Afterwards, he started his doctoral studies at the same institution, becoming part of the "Sensorial Systems Applied to the Industry" (SSAI) research group, led by Prof. Francesc Serratosa. He then took up a post as Research Fellow in computing at RGU, where he developed an industrial project with The Data Lab Scotland and Det Norske Veritas Germanische Lloyd (DNV GL) on digitisation of complex engineering drawings used in the oil & gas sector.
Most recently, he became recipient of a Newton Fund project in collaboration with Universidad Nacional Autonoma de México (UNAM), Centro de Computación Avanzada y Visión (CECAV), led by Prof. Boris Escalante. In this project, the team is exploring methods based on computer vision, deep learning and human-computer interaction to develop an accessible system for early detection of cardiovascular diseases in partnership with hospitals and clinics in Mexico City. Other relevant experiences include being Associated Editor of IEEE Transactions on Neural Networks and Learning Systems, being reviewer and topic edito for multiple other journals, and leading the cluster of Machine Learning and Data Science from Red Global MX, which is an association composed of hgh-skilled Mexicans living in the UK.
|Research Interests||Pattern Recognition
Medical Image Analysis
Document Image Analysis
|Teaching and Learning||Placements and Electives Coordinator
System's Programming and Security
Data Science Development
Advanced Data Science
Programming Concepts for Business Analytics
Programming for Business Analytics
|Scopus Author ID||56332688500|