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Mahdi Marsousi
Academic Affiliation:
Multimedia Processing Lab, 
Electrical and Computer Eng. Dept., 
University of Toronto,
Toronto, ON, Canada
Industrial Affiliation:
Research Engineer,
Research and Development Department,
Magna Electronics Inc.,
1 Kenview Blvd, Suite 200,
Brampton, ON, L6T 5E6, Canada
Contact Information:
Academic email:
Work email: 
Email: marsousi@gmail.com
Cell-phone: (647) 967-1585
Mahdi is a research engineer in research and development (R&D) department at Magna Vectrics Inc., working on signal processing and computer vision algorithm design for computer-assisted driver assistant system. He received his Ph.D. degree in electrical and computer engineering at the University of Toronto in November 2016.
Chapter I: 2000 to 2005
In September 2000, Mahdi entered the University of Tehran to start his B.Sc. program in electrical and computer engineering. In parallel with taking electrical courses, Mahdi found a great interest in web-development and database programming, and accomplished many websites and web-services such as the website and content management system (CMS) of the faculty of engineering of the University of Tehran. Mahdi joined Gostaresh Andisheh Pouya (GAP) Inc. in 2003, working on an innovative form generator system for efficient and fast design of web-based content management systems. After working for a year at GAP Inc., Mahdi decided to leave GAP to spend more time on his B.Sc. courses, and he finished his degree requirements in August 2005. As the capstone project of his B.Sc. program, Mahdi worked on pistachio nut detection based on speech signal processing. Working on his capstone project intrigued Mahdi's interest to puruse his later researches and works in signal and image processing.
Chapter II: 2005 to 2010
After graduation from B.Sc in electrical engineering, Mahdi joint Manabe Taghzieh Electronics Co. in 2005, working on electronic design for the Iranian vehicle manufacturer, Iran-Khodro. During the first year of his industrial work at Manabeh Taghzieh Electronics Co, Mahdi found his passion in biomedical engineering which could integrate his skills in software development and electronics to design computer-assisted medical diagnostic solution to save lives of patients. Therefore, in parallel with his industrial work at Manabeh Taghzieh Electronics Co., he started his first M.A.Sc. in biomedical engineering at K. N. Toosi University of Technology in 2008. The focus of his M.A.Sc. research was on image segmentation and analysis of two-dimensional (2D) echocardiography images to extract vital parameters of heart. After graduation in October 2008, Mahdi pursued his research on echocardiography image processing at the research center of science and technology in medicine (RCSTIM). The output of his research at RCSTIM was a software package for computer-assisted diagnosis of echocardiography images, containing image acquisition, image processing, image analysis, and image visualization tools. It soon became evident for Mahdi that by staying in Iran, he would not be able to research on cutting edge technology in biomedical engineering. Therefore, he decided to start his journey abroad.
Chapter III: 2010 to 2016
In September 1st 2010, Mahdi entered Canada to start his second M.A.Sc. degree in electrical and computer engineering at Ryerson University under the co-supervision of Prof. Javad Alirezaie and Prof. Paul Babyn. His second M.A.Sc research was focused on developing an adaptive size dictionary learning method in sparse representation to be used for biomedical image enhancement. In addition to his main line of research at Ryerson, Mahdi started a parallel research in the same instritude with Dr. Karthikeyan Umapathy on physiological signal simulation. Mahdi dedicated his time and effort at Ryerson to produce more outputs than what was expected from a Master's student, and thus, his second M.A.Sc degree opened doors for him toward the next level of success. After graduation from his Second Masters degree in August 2012, Mahdi started his Ph.D. in electrical and computer engineering at the University of Toronto under the supervision of Prof. Konstantinos Plataniotis and advisory of Prof. Stergios Stergiopoulos (Defence Research and Development Canada). His Ph.D. research was focused on designing image processing algorithms to be used in a computer-assisted medical diagnostic system for trauma patients based on three-dimensional ultrasound imagery. In fact, researching on computer-assisted medical diagnosis during his Ph.D. program was Mahdi’s dream since 2005. He dedicated his time to develop robust algorithms and methods to overcome challenges toward the design of computer-assisted trauma diagnosis. The outputs of his Ph.D. research include two published journal papers, a submitted journal paper, a published US-patent, and several conference papers.
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