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Miguel Guevara
Assistant Professor
Main areas of research
Computer Vision
Pattern Recognition / Machine Deep Learning
Artificial Intelligence
Main Application Fields: Biomedical Image and Data Analysis, Industry (AOIs, Condition Monitoring, Artificial Vision etc.), Cybersecurity, Cultural Heritage
Academic background
Licentiate in Mathematics
PhD in Technical Sciences
Branch of Computer Sciences
Research projects / Experience
IntVIS4Insp
Intelligent and flexible Computer Vision System for Automatic Inspection
Intelligent4DMoulds
Intelligent system for quality analysis in the process of moulds construction
HeritageCARE
Monitoring and Preventive Conservation of Historic and Cultural Heritage
AGATHA
Intelligent Analysis System for surveillance / crime control on open information sources
Senior Inclusive
Developing and adapting existing technologies aiming at the social inclusion of the elderly.
IMED
Development of Machine Learning Classifiers for Biomedical Image and Data Analysis, supported on Distributed Computing infrastructures
