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Mahreen Nasir is an accomplished educator and researcher with a focus on Data Science, Artificial Intelligence, and Deep Learning. Her research explores diverse applications including E-Commerce Product Recommendations, Infectious Disease Prediction, Anomaly Detection in Connected Autonomous Vehicles, and Web technologies. Dr. Nasir completed her Ph.D. in Computer Science at the University of Windsor and is actively engaged in the analysis of complex data to uncover actionable insights that span interdisciplinary fields. She has made significant contributions to undergraduate and graduate Computer Science education in various regions including South Asia, the Middle East, and North America, teaching courses such as Artificial Intelligence, Machine Learning, and Computer Networks. Additionally, Dr. Nasir leads the RAIDAR lab (Research on Artificial Intelligence and Data Analytics for Real-World Solutions) at Algoma University, where she supervises undergraduate and graduate thesis projects, leveraging AI and Machine Learning in various applications. She mentors students participating in global AI competitions and is recognized for her research contributions through publications and service as a reviewer for prestigious ACM and IEEE journals and conferences. Her active participation in securing research grants further supports her work in Data Science and Analytics.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).