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Mingzhou Jin

Industrial and Systems Engineering, UTK


Dr. Jin and his research group use data analytics and optimization to solve large-scaled problems in transportation and logistics, climate change, energy efficiency, and manufacturing. Various models and algorithms have been developed to solve routing problems in large transportation networks involving multiple transportation modes and logistics problems faced by major companies. The detection and attribution method has been applied to answer several climate change research questions, such as river run-off and vegetation, based on global observation data and simulation results from ORNL. Various data have been collected and analyzed for improving energy efficiency for conventional and advanced manufacturing. Advanced data analytics tools, such as classification, machine learning and stochastic optimization, are under development to deal with quality and business issues of additive manufacturing.

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