Name:James R. Green

Bio:

James Green received his B.A.Sc. in Systems Design Engineering from the University of Waterloo in 1998. He then received his M.Sc.(Eng.) and PhD degrees from Queen’s University in 2000 and 2005 respectively for research in the areas of computational genomics and proteomics. In 2000-2001, Dr. Green worked at Molecular Mining Corporation, a bioinformatics start-up company in Kingston Ontario, where he helped to develop novel analysis methods for the interpretation of gene expression data. In September 2005, Dr. Green joined the Department of Systems and Computer Engineering at Carleton University, where he is now a Full Professor and a Senior Member of the IEEE. His research focuses on machine learning challenges in biomedical informatics, particularly in the presence of class imbalance and the prediction of rare events. Current research projects include the prediction of protein structure, function, and interaction; the use of supervised and semi-supervised machine learning for the identification of microRNA in unique species; unobtrusive and non-contact neonatal patient monitoring; and the acceleration of scientific computing using parallel computing.

Country:Canada

Affiliation:Carleton University

Research interests:Machine learning, bioinformatics, non-contact patient monitoring, biomedical informatics, class imbalance