Rate My Professor Yi Wang

Dr. Wang's research interests focus on machine learning, optimization, and operations research, particularly with applications to scheduling, disassembly line balancing, and container terminal management. His publications have appeared in journals including Complex & Intelligent Systems, Engineering Optimization, Journal of Intelligent Manufacturing, Soft Computing, Arabian Journal for Science and Engineering, International Journal of Production Research, and Journal of Construction Engineering and Management. Representative works include 'Decomposition approaches for parallel machine scheduling of step-deteriorating jobs to minimize total tardiness and energy consumption' (2021, Complex & Intelligent Systems), 'Logic-based benders decomposition for gantry crane scheduling with transferring position constraints in a rail-road container terminal' (2021, Engineering Optimization), 'On the end-of-life states-oriented multi-objective disassembly line balancing problem' (2020, Journal of Intelligent Manufacturing), 'An improved scatter search algorithm for the corridor allocation problem considering corridor width' (2020, Soft Computing), 'Dispatching rules for scheduling twin automated gantry cranes in an automated rail-road container terminal' (2020, Arabian Journal for Science and Engineering), and 'Gantry crane scheduling in intermodal rail-road container terminals' (2018, International Journal of Production Research). His scholarship has accumulated over 1,700 citations on Google Scholar. Awards include the 2017 AUM Warhawk Spirit Award, the 2013-2014 Research Award of the School of Sciences at Auburn University at Montgomery, and the Endowed Doctoral Teaching Fellowship from West Virginia University in 2002-2003. Dr. Wang serves as reviewer editor for Frontiers in Mathematics of Computation and Data Science since 2015 and editorial board member for Frontiers in Science, Technology, Engineering and Mathematics since 2017.