معرفی
Eraldo Ribeiro is an Associate Professor of Computer Science at Florida Institute of Technology (FIT), situated in the College of Engineering and Science's Department of Electrical Engineering and Computer Science. He holds a Ph.D. in Computer Vision from the University of York (2001), an M.Sc. in Computer Science from the Federal University of São Carlos (1995), and a B.Sc. in Mathematics from the Catholic University of Salvador (1992).
His research focuses on computer vision, pattern recognition, and machine learning, with emphasis on 3-D shape modeling, image registration, human-motion recognition, and non-rigid deformation analysis. Current projects include underwater video mosaicing techniques and spatio-temporal crime pattern modeling. He serves as an associate editor for Machine Vision and Applications and Journal of Signal, Image, and Video Processing.
Ribeiro’s recent work spans diverse applications including automated anuran call classification, pollen grain recognition via CNN-RNN hybrid models, and network-centric approaches to image annotation. His lab’s projects address challenges in medical imaging registration, social media analytics, and biofilm adhesion studies.
He collaborates on interdisciplinary initiatives such as coral reef texture classification (using SVMs) and data science for urban crime analysis. Ribeiro’s contributions to computer vision education include teaching CSE4001 and CSE5683 courses at FIT.
