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dr. L. Xie (Lin)

Assitant Professor AI/OR Smart & Sustainable Industry

About Me

Lin Xie is an assistant professor of AI/OR Smart & Sustainable Industry within the High Tech Business and Entrepreneurship (HBE) department at the University of Twente and a visiting professor at the Leuphana University of Lüneburg. She holds a bachelor's and a master's degree (2008 and 2010) in Information Systems and did her Ph.D. at the University of Paderborn (2014). After finishing her Ph.D., Lin did her postdoc at the same university. From 2015 to 2022, she was an assistant professor of Information Systems and Operations Research at the Leuphana University of Lüneburg. 

Lin's research includes both industry and sustainability focuses. The industry focus includes digital logistics (robotics in warehouses, last-mile logistics) and intelligent transportation, while the sustainability focus includes robust planning in public transit (e-buses, personnel planning), and robotics services in data center maintenance, in Agri-PV systems and in sports. 

The decision support methods she applies to solve the important and practice-oriented problems in the areas mentioned above are operations research/artificial intelligence methods (discrete-event simulation, mathematical modeling, metaheuristics, queueing theory, column generation, data mining and machine learning) and emerging technologies (digital twinning, virtual reality).

Lin has participated in various research and implementation projects funded by the German Research Foundation, the European Social Fund, the German Federal Ministry of Transport and Digital Infrastructure and industrial partners. 

In teaching, Lin received the best teaching award in 2018 from the Leuphana University of Lüneburg.

Publications

Recent
Xie, L., Kliewer, N., & Rößler (Accepted/In press). Generating Robust Vehicle Schedules by Predicting Real-World Bus Travel Time. Transportation Research Interdisciplinary Perspectives.
Ge, L., Nourmohammadzadeh, A., Voß, S. , & Xie, L. (2022). Robust Optimization for Integrated Vehicle and Crew Scheduling Based on Uncertainty in the Main Inputs. In The Fifth Data Science Meets Optimisation Workshop at IJCAI-22
Xie, L. (2022). Mobile Lagersysteme – intelligent und lernfähig. In Technologie-Informationen (Technologie-Informationen).
Nimpanomprasert , Xie, L., & Kliewer, N. (2022). Comparing two hybrid neural network models to predict real-world bus travel time. Transportation research procedia, 62, 393-400. https://doi.org/10.1016/j.trpro.2022.02.049
Ge, L., Kliewer, N., Nourmohammadzadeh, A., Voß, S. , & Xie, L. (2022). Revisiting the richness of integrated vehicle and crew scheduling. Public transport. https://doi.org/10.1007/s12469-022-00292-6
Xie, L., Thieme, N., Krenzler, R., & Li, H. (2021). Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems. European journal of operational research, 288(1), 80-97. https://doi.org/10.1016/j.ejor.2020.05.032

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Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands