معرفی
Mohammad Jafari Jozani is a Professor of Statistics at the University of Manitoba's Faculty of Science. His research focuses on developing statistical methodologies and computational tools for solving complex data problems in diverse fields including healthcare, environmental science, and engineering. He holds leadership roles in the Manitoba Statistical and Health Sciences (MB-SAHS) Collaborating Centre and serves as an Associate Director of the Canadian Statistical Sciences Institute (CANSSI). His work emphasizes applications in osteoporosis research, medical imaging, wind energy modeling, and biostatistical methods.
Key collaborations include Project neuroArm (University of Calgary), St. Boniface Hospital, Manitoba Bone Density Program, and Manitoba Hydro. His research integrates machine learning, ranked set sampling, and Bayesian techniques to address challenges in personalized medicine, predictive analytics, and sustainable energy systems.
Dr. Jozani’s methodological contributions span small area estimation, robust regression, and finite mixture modeling. His recent studies explore automated medical image analysis for cardiovascular risk prediction, transcranial stimulation efficacy in dementia treatment, and energy storage optimization for wind power grids. He leads the Complex Analytics Research Lab (CARL) and has published extensively in top-tier statistical and interdisciplinary journals.
