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Welcome to the official site of Professor Oge Marques.

Here you will find information about Dr. Marques’s books, speaking engagements, research projects, and activities.


Dr. Oge Marques is Professor of Computer Science and Engineering at the College of Engineering and Computer Science and, by courtesy, Professor of Information Technology and Operations Management at the College of Business, at Florida Atlantic University (FAU) (Boca Raton, Florida, USA).

He is Tau Beta Pi Eminent Engineer, ACM Distinguished Speaker, co-Editor-in-Chief of the upcoming 3rd edition of the Encyclopedia of Multimedia (Springer), and the author of more than 100 publications in the area of intelligent processing of visual information – which combines the fields of image processing, computer vision, image retrieval, machine learning, serious games, and human visual perception –, including the textbook “Practical Image and Video Processing Using MATLAB” (Wiley-IEEE Press).

Professor Marques is Senior Member of both the IEEE (Institute of Electrical and Electronics Engineers) and the ACM (Association for Computing Machinery), and member of the honor societies of Sigma Xi, Phi Kappa Phi and Upsilon Pi Epsilon.

He received his Ph.D. in Computer Engineering from Florida Atlantic University, his Masters in Electronics Engineering from the Netherlands Universities Foundation For International Cooperation (NUFFIC) through Philips International Institute (PII) (Eindhoven, NL), and his Bachelor’s Degree in Electrical Engineering from UTFPR (Curitiba, Brazil), where he also taught for more than 10 years before moving to the USA.

He has more than 30 years of teaching and research experience in different countries (USA, Austria, Brazil, Netherlands, Spain, France, and India) and languages, and has won several teaching awards, including the Outstanding Mid-Career Teaching Award, American Society for Engineering Education – Southeastern Section (ASEE-SE) (2011) and the Excellence and Innovation in Undergraduate Teaching Award, Florida Atlantic University, twice (2011 and 2004).

Call for Papers

Special Track on Medical Image and Video Analysis using Deep Learning at the 31st IEEE CBMS International Symposium on Computer-Based Medical Systems, to be held in Karlstad, Sweden from June 18-21, 2018.

Topics of interest include (but are not limited to):

  • Novel approaches for medical image/exam classification, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and medical image registration using deep learning;
  • Content-Based Image Retrieval (CBIR) of medical images using deep learning;
  • Medical image content understanding using deep learning;
  • Medical image generation and enhancement methods using deep learning;
  • Multimodal (image/text) analysis using deep learning;
  • Organ-specific, modality-specific, and disease-specific image analysis using deep learning;
  • Applications of deep learning for digital pathology and microscopy.

Please find the Call-for-Papers here.
Looking forward to your submissions!


Important Dates

  • Abstract submission deadline: February 26, 2018
  • Full paper submission deadline: March 5, 2018
  • Notification of acceptance: April 25, 2018
  • Final paper submission deadline: May 7, 2018

Special Track Chairs

  • Oge Marques, Florida Atlantic University, USA [omarques@fau.edu]
  • Michael Riegler, Center for Digitalization and Engineering, Norway [michael@simula.no]
  • Klaus Schoeffmann, Klagenfurt University, Austria [ks@itec.aau.at]