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 Mohamad Sangari

Mohamad Sangari

TRSM/Cybersecurity Research Lab
EducationPhD, University of Tehran
Areas of ExpertiseApplied machine learning; cybersecurity and privacy; end-user behaviour; information systems (IS) management; multivariate data analysis; natural language processing

 

Mohamad S. Sangari is a researcher at the Cybersecurity Research Lab (CRL) in the Ted Rogers School of Management. He conducts research on the socio-technical analysis of emerging information technologies and systems, organizational cybersecurity management, and privacy and cybersecurity in human-computer interactions. Mohamad’s expertise lies in the areas of multivariate statistical methods, applied analytics and machine learning, and optimization and decision analysis. His previous works have been published in several venues such as The International Journal of Logistics Management, Advances in Engineering Software, International Journal of Production Economics, Annals of Operations Research, The Service Industries Journal, and Computers in Industry. He has also worked as a data science and analytics consultant and a research analyst in business and technology domains.

Recent Publications

Vanderkooi, D., Sangari, M. S., & Mashatan, A. (2024). Understanding adoption intentions for blockchain-based Personal Health Records: Integrating technology usage and initial trust perspectives (external link) 2024 Americas Conference on Information Systems (AMCIS), USA.