
The Evolution of the Vehicle Routing Problem
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Xingyin Wang, PhD. is a Lead Data Scientist at Workforce Optimizer, a company that specializes in software solutions to workforce scheduling problems. His research interests are in labor demand forecasting and AI methods for scheduling. He obtained his Ph.D. in Applied Mathematics from the University of Maryland, College Park in 2016 and B.Sc. (Honors) in Quantitative Finance from the National University of Singapore in 2011. His Ph.D. thesis focused on vehicle routing problems that minimize the makespan. Prior to joining industry, Dr. Wang had been working at the Singapore University of Technology and Design where he applied both exact and heuristic approaches to solve problems in vehicle routing and aviation. He has published over 10 research articles in scientific journals and co-authored three book chapters. In 2014, his team was among the finalists of the VeRoLog (Vehicle Routing and Logistics) Challenge. In 2017, his paper "The Vehicle Routing Problem with Drones: Several Worst-case Results" received an Honorable Mention in the Optimization Letters Best Paper Award Competition.
Edward Wasil, Ph.D., holds the UPS Professorship in the Kogod School of Business at American University. He conducts research in the areas of network optimization and applications of decision-aiding methods. He has published more than 100 technical articles in a wide variety of academic outlets including Operations Research , Production and Operations Management, Manufacturing & Service Operations Management , and the INFORMS Journal on Computing . Dr. Wasil received the INFORMS Computing Society Prize for research excellence in the interface between operations research and computer science (awarded with four co-authors) in 2005. From 1992 to 2013, he was the Feature Article Editor of the INFORMS Journal on Computing .
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