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Ying Da Wang is a Lecturer at the University of New South Wales (UNSW) specializing in Engineering. His research centers on Machine Learning, focusing on developing computationally efficient techniques for digital rock analysis and micro-CT imaging. He earned his PhD from UNSW in 2020, where he explored various innovative methods to enhance resource engineering practices, particularly in the context of the petroleum industry. As a committed educator, he has supervised courses relating to enhanced oil recovery and production engineering, demonstrating his dedication to integrating research into teaching. His work aims to bridge the gap between theoretical research and its practical applications in the energy sector.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.