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Michael Bain is a Senior Lecturer in the School of Computer Science and Engineering at the University of New South Wales. His research interests encompass a range of topics including Machine Learning, Inductive Logic Programming, Behavioural Cloning, and Formal Concept Analysis. His passion lies in employing artificial intelligence to engineer smart systems that can learn from experience. He combines machine learning algorithms with declarative programming languages to address complex data networks and dynamic models. Moreover, Bain focuses on developing explainable AI solutions and novel applications, particularly in the domains of computer chess and online dating systems. His educational background includes a PhD in Statistics Modelling Science from the University of Strathclyde and a BSc (Hons) from the University of Edinburgh. He has taught various courses, including Machine Learning and Bioinformatics. With a commitment to advancing knowledge, he engages students in a diverse range of machine learning problems, applying their skills to science and engineering challenges.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.