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Yanlan Mao is affiliated with Aalborg University, where he focuses on the application of machine learning in engineering contexts, particularly in the wind turbine industry. His research involves predicting production capacity for engineer-to-order products, which emphasizes the integration of advanced analytical techniques with engineering processes. With a background in engineering and data science, he leverages statistical learning and data analytics to contribute to optimizing production systems. His work has resulted in several publications, including peer-reviewed journal articles that address the challenges faced by industries relying on complex engineering solutions.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.