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Gurmail Singh is a Faculty Associate at the University of Wisconsin-Madison with extensive expertise in Machine Learning, Artificial Intelligence, and Computational Learning Theory. He earned his Ph.D. in Mathematics in 2015, supervised by professors Allen Herman and Shaun Fallat. His research interests span a broad spectrum within the domains of computer vision, natural language processing, reality-based algebras, Hopf algebra, and representation theory. Singh has presented at various prestigious forums including the Artificial Intelligence Research Seminar and Mathematics Central, discussing topics such as interpretable deep learning models and the classification of images using deep learning architectures. His contributions involve both oral presentations and numerous publications emphasizing innovative approaches in machine learning applications. As an educator, he has taught courses in Computer Science and Mathematics at both the University of Wisconsin-Madison and the University of Regina, specializing in subjects like Natural Language Processing and Digital Systems Architecture. Singh has actively participated in departmental and university service, contributing to committees aimed at enhancing the academic experience of students and faculty. His dedication to research and teaching exemplifies a commitment to advancing knowledge in his fields of expertise.
University of Wisconsin-Madison • Madison, Wisconsin, USA
Teaching and conducting research in areas related to machine learning and artificial intelligence.
Department of Mathematics, Babbar Akali Memorial Khalsa College • Garhshankar, Punjab, India
Taught various undergraduate and graduate level courses in mathematics.
Department of Mathematics, BLM Girls College • Nawanshahr, Punjab, India
Educated undergraduate students in advanced mathematics courses.
Department: Department of Computer Sciences