Mehdi Shajari
Assistant Professor Ted Rogers School of Management Ted Rogers School of Information Technology Management Toronto, Ontario mehdi.shajari@torontomu.ca
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Bio/Research
Dr. Shajari holds a Ph.D. in Computer Science from the University of New Brunswick and an M.Sc. in Computer Engineering from the Amirkabir University of Technology. He is currently employed as an assistant professor at the Ted Rogers School of Information Technology Management. In his previous ac...
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Bio/Research
Dr. Shajari holds a Ph.D. in Computer Science from the University of New Brunswick and an M.Sc. in Computer Engineering from the Amirkabir University of Technology. He is currently employed as an assistant professor at the Ted Rogers School of Information Technology Management. In his previous academic positions, he worked with the University of Toronto, Ontario Tech University, the National Research Council of Canada, the University of New Brunswick, Trent University, and the Amirkabir University of Technology.
Dr. Shajari’s research interests include cybersecurity, risk management, electronic commerce, blockchain, and machine learning. His research initiative during his work at UNB and NRC resulted in the submission of a successful AIF funding proposal entitled “FAST Intrusion Detection project”. The project had a total estimated cost of $3.3 million and received $1.2 million from AIF over four years. Later at AUT, he was the director of Information Security and Electronic Commerce groups and the founder of the Information Security and Electronic Commerce (ISEC) Lab and the AUT Fintech Research Center. He also received two research excellence awards for his research supervision. Dr. Shajari’s most recent research at the University of Toronto was focused on the application of deep learning in network anomaly detection and intent-based networking. His research appears in numerous prestigious journals, including IEEE Transaction on Service Computing, Future Generation Computer Systems, Expert Systems with Applications, Computers and Security, International Journal of Critical Infrastructure Protection, International Journal of Information Security, Computer Communication, Journal of Intelligent Information Systems, Information Retrieval, International Journal of Web Information Systems, and Electronic Commerce Research.
Dr. Shajari holds CISSP and ISO27001 Lead Auditor certificates, and besides teaching and research, he has been involved with several IT industry collaborations and entrepreneurial projects.
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Dr. Shajari’s research interests include cybersecurity, risk management, electronic commerce, blockchain, and machine learning. His research initiative during his work at UNB and NRC resulted in the submission of a successful AIF funding proposal entitled “FAST Intrusion Detection project”. The project had a total estimated cost of $3.3 million and received $1.2 million from AIF over four years. Later at AUT, he was the director of Information Security and Electronic Commerce groups and the founder of the Information Security and Electronic Commerce (ISEC) Lab and the AUT Fintech Research Center. He also received two research excellence awards for his research supervision. Dr. Shajari’s most recent research at the University of Toronto was focused on the application of deep learning in network anomaly detection and intent-based networking. His research appears in numerous prestigious journals, including IEEE Transaction on Service Computing, Future Generation Computer Systems, Expert Systems with Applications, Computers and Security, International Journal of Critical Infrastructure Protection, International Journal of Information Security, Computer Communication, Journal of Intelligent Information Systems, Information Retrieval, International Journal of Web Information Systems, and Electronic Commerce Research.
Dr. Shajari holds CISSP and ISO27001 Lead Auditor certificates, and besides teaching and research, he has been involved with several IT industry collaborations and entrepreneurial projects.
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