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Shahin Kamali is a professor at the University of Manitoba in the Faculty of Science, specializing in computer science. His research primarily focuses on the design, analysis, and limitations of algorithms, with a particular interest in online problems such as bin packing, list updates, and the k-server problem. Additionally, he explores the big-data applications of algorithms in areas like text compression, graph partitioning, and resource allocation in cloud environments. He leads the Geometric, Approximation, and Distributed Algorithms laboratory, which is dedicated to advancing research in these domains.
University of Manitoba • Winnipeg, MB
Teaching courses related to computer science and supervising research in algorithms.
Streams include Education, Administration, or Clinical.