Dr. Javad Alirezaie


Dr. Javad Alirezaie received his B.Sc. degree in Electrical and Electronic Engineering from Tehran University in 1988 and his M.A.Sc. and Ph.D. degrees in Systems Design Engineering from University of Waterloo in 1993 and 1996, respectively. From 1997 to 2000 he was a postdoctoral fellow, an Assistant Professor and an R&D fellow in a private sector. He joined Ryerson University in 2001. He is currently a full Professor in the Department of Electrical Engineering and an adjunct professor with the Department of Systems Design Engineering at University of Waterloo. His research interests include, medical imaging, signal and image processing, Computer Aided Diagnostics, neural networks, speech processing and pattern recognition. He is author and co-author of more than 100 technical papers in these areas. Dr. Alirezaie is a licensed Professional Engineer (PEng), a member of IEEE SPC, and a member of the Engineering in Medicine and Biology Society.

My research interests:

http://www.ee.ryerson.ca/%7Ejavad/small_ball.gifMedical Image Processing:

 I am collaborating with clinician-scientists at research based hospitals, i.e. Hospital for Sick Children (HSC), a leading research institute in pediatric research in North America. We are currently developing a computer-aided diagnosis (CAD) system to assist radiologists in their diagnosis of lung cancers in the Computed Tomography (CT) images, Low Dose CT image noise removal, and compressing sensing for MR Images.

http://www.ee.ryerson.ca/%7Ejavad/small_ball.gifPattern Recognition:

This research is concerned with providing computers with a perceptual capability in the sense that the significant underlying patterns in a given data set are to be automatically classified or recognized. Data analysis is approached as a problem in determining the similarity between an unknown input pattern and known classes represented in memory. My interest in pattern recognition is currently focused on Magnetic Resonance Images (MRI), mainly segmentation of MR brain images. Traditional and Neural Network approaches are being developed. Pattern recognition has other applications including data analysis, character recognition and classification, etc.

http://www.ee.ryerson.ca/%7Ejavad/small_ball.gifImage Processing:

My interest in image processing is focused on image compression, image segmentation and image enhancement. New methods for image compression, vector quantization and transform coding are investigated including adaptive and neural network approaches. Applications include document processing and medical image archival and retrieval systems.  


Publications ( Not completed list) 

Teaching at Ryerson University

ELE532 : Signals and Systems I
ELE888 : Applied Artificial Intelligence
EE8201 : Computer Vision
EE8202 : Digital Image Processing I

BME872: Biomedical Image Analysis



Maintained by javad(at)ryerson.ca