Jaime Cardoso
Scholar

Jaime Cardoso

Google Scholar ID: fadRi1YAAAAJ
Full Professor at Faculty of Engineering, University of Porto; Researcher, INESC TEC
Computer VisionPattern RecognitionMachine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
10,798
 
H-index
41
 
i10-index
142
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Recognized as one of the World's Top 2% Scientists. Holds multiple academic identifiers such as ORCID: 0000-0002-3760-2473, Scopus ID: 9245302400, etc.
Research Experience
  • Currently a Full Professor at the Faculty of Engineering, University of Porto. Research areas include computer vision, image processing, machine learning, and decision support systems based on visual data analysis, with a special focus on medical imaging and biometrics.
Education
  • Licentiate (5-year Licenciatura) in ECE from University of Porto, Faculty of Engineering in 1999; Master in Mathematical Engineering from University of Porto, Faculty of Sciences in 2005; Ph.D. in ECE (Computer Vision) from University of Porto, Faculty of Engineering in 2006, with a thesis titled 'Metadata Assisted Image Segmentation'.
Background
  • Full name: Jaime dos Santos Cardoso. Full Professor at Faculdade de Engenharia da Universidade do Porto (FEUP). Also involved in R&D activities at INESC TEC's Centre for Telecommunications and Multimedia. Co-founder of the Breast Research Group and the Visual Computing and Machine Intelligence Group (VCMI), focusing on computer vision and pattern recognition.
Miscellany
  • Research interests include but are not limited to: Computer Vision, Machine Learning, Deep Learning, Imbalance Data and Open set classification, Ordinal Data, Directional Data, Data Efficient Learning, Never Ending Learning, Medical Image Analysis (especially Breast Cancer, Cervical Cancer, Infantile Hemangioma), Medical Decision Support Systems, Biometrics.