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Mina Aminghafari is an Associate Professor at the University of Calgary, specializing in statistical and machine learning, functional data analysis, time series, unsupervised learning, and non-parametric statistics. She completed her PhD in Mathematics with a focus on Statistics from Universite de Paris Saclay. Her research includes decoding patterns of antinuclear antibodies using artificial intelligence and evaluating the implications of lumbopelvic alignment on cervical spine alignment. Aminghafari engages in projects that enhance environmental science and analyze groundwater recharge and drought indicators. She has taught courses such as Time Series Analysis and Data Mining Machine Learning, and has conducted professional internships in Data Science Analytics. In addition to her teaching and research responsibilities, she is recognized as a professional statistician and actively contributes to her field through various projects and research funding.
Department of Computer Science Master's program. GRE scores are expected for international students.