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.

Expertise

  • Computer Science

    • Models
    • Mobile Robotics
    • Public Bus
    • Real World
    • Robot
  • Social Sciences

    • Problem
    • Public Transport
    • Scheduling

Organisations

Publications

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2024

PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization (2024)[Working paper › Working paper]. ArXiv.org. Berto, F., Hua, C., Luttmann, L., Son, J., Park, J., Ahn, K., Kwon, C., Xie, L. & Park, J.https://arxiv.org/abs/2409.03811RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark (2024)[Working paper › Preprint]. ArXiv.org. Berto, F., Hua, C., Park, J., Luttmann, L., Ma, Y., Bu, F., Wang, J., Ye, H., Kim, M., Choi, S., Zepeda, N. G., Hottung, A., Zhou, J., Bi, J., Hu, Y., Liu, F., Kim, H., Son, J., Kim, H., … Park, J.https://doi.org/10.48550/ARXIV.2306.17100Security and Safety in Urban Environments: Evaluating Threats and Risks of Autonomous Last-Mile Delivery Robots (2024)In SAFECOMP 2024: 43rd International Conference on Computer Safety, Reliability and Security (Accepted/In press). Kolb, C. & Xie, L.Introducing Combi-Stations in Robotic Mobile Fulfilment Systems: A Queueing-Theory-Based Efficiency Analysis (2024)[Working paper › Preprint]. ArXiv.org. Xie, L. & Otten, S.https://doi.org/10.48550/arXiv.2403.12798Neural Combinatorial Optimization on Heterogeneous Graphs: An Application to the Picker Routing Problem in Mixed-Shelves Warehouses (2024)In The 34th International Conference on Automated Planning and Scheduling. AAAI. Luttmann, L. & Xie, L.Security and Human-Safety by Applying Last-Mile Robots in Urban Environments (2024)In SENSEI 2024: International Workshop on Safety-Security Interaction (Accepted/In press). Kolb, C. & Xie, L.Vehicle Scheduling (2024)In Encyclopedia of Optimization (Accepted/In press). Daduna, J. R. & Xie, L.https://doi.org/10.1007/978-3-030-54621-2_704-1

Research profiles

Affiliated study programs

Courses academic year 2024/2025

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2023/2024

Current projects

Finished projects

Robonatives Initiative Roll Out Nordostniedersachsen (RoboNord)

Robust integrated vehicle, crew scheduling and rostering in public transport

Robotic Mobile Fulfillment Systems

Optimization and Simulation for Robotic Mobile Fulfillment Systems

Address

University of Twente

Ravelijn (building no. 10), room 4410
Hallenweg 17
7522 NH Enschede
Netherlands

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