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Sandra Zilles is a professor at the University of Regina with a focus on computational learning theory and artificial intelligence. She holds a Canada Research Chair, specializing in the intersection of machine learning, theoretical computer science, and formal languages. Her research explores various aspects of computational learning, including interactive learning, query learning, and inductive inference. Additionally, Sandra has a keen interest in search planning within artificial intelligence, aiming to enhance algorithms that can learn and make decisions effectively. She is noted for her contribution to the understanding of pattern languages and the learning of regular languages. Her work is recognized in both academic circles and broader scientific communities, and she actively engages in research that combines theoretical insights with practical applications.
Standard graduate requirements applicable to most departments including Science, Engineering, and Arts.