Ravelijn

dr. L. Xie (Lin)

Assitant Professor AI/OR Smart & Sustainable Industry
BMS-HBE-IEBIS
Ravelijn 4410
lin.xie@utwente.nl
+31534899143
Business card

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

Jump to: 2024 | 2023 | 2022 | 2021

2024

RL4CO: 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

2023

An overview of optimization approaches for scheduling and rostering resources in public transportation (2023)[Working paper › Preprint]. Mertens, L., Wolbeck, L.-A., Rößler, D., Xie, L. & Kliewer, N.https://doi.org/10.48550/arXiv.2310.13425Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses (2023)European journal of operational research, 307(2), 713-730. Xie, L., Li, H. & Luttmann, L.https://doi.org/10.1016/j.ejor.2022.08.047

2022

Robustness and disturbances in public transport (2022)Public transport, 14, 191-261. Ge, L., Voß, S. & Xie, L.https://doi.org/10.1007/s12469-022-00301-8Mobile Lagersysteme – intelligent und lernfähig (2022)In Technologie-Informationen (Technologie-Informationen). Xie, L.Revisiting the richness of integrated vehicle and crew scheduling (2022)Public transport (E-pub ahead of print/First online). Ge, L., Kliewer, N., Nourmohammadzadeh, A., Voß, S. & Xie, L.https://doi.org/10.1007/s12469-022-00292-6Comparing two hybrid neural network models to predict real-world bus travel time (2022)Transportation research procedia, 62, 393-400. Nimpanomprasert, Xie, L. & Kliewer, N.https://doi.org/10.1016/j.trpro.2022.02.049How to Integrate Digital Twin and Virtual Reality in Robotics Systems? -- Design and Implementation for Providing Robotics Maintenance Services in Data Centers (2022)[Working paper › Working paper]. Xie, L. & Li, H.Robust Optimization for Integrated Vehicle and Crew Scheduling Based on Uncertainty in the Main Inputs (2022)In The Fifth Data Science Meets Optimisation Workshop at IJCAI-22. Ge, L., Nourmohammadzadeh, A., Voß, S. & Xie, L.

2021

Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems (2021)OR Spectrum = OR Spektrum, 44, 603-648. Otten, S., Krenzler, R., Xie, L., Daduna, H. & Kruse, K.https://doi.org/10.1007/s00291-021-00662-9Data for Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems (2021)[Dataset Types › Dataset]. TORE. Otten, S., Krenzler, R., Xie, L., Daduna, H. & Kruse, K.https://doi.org/10.15480/336.3943Review of Transit Data Sources: Potentials, Challenges and Complementarity (2021)Sustainability and climate change, 13(20). Article 11450. Ge, L., Sarhani, M., Voß, S. & Xie, L.https://doi.org/10.3390/su132011450Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems (2021)European journal of operational research, 288(1), 80-97. Xie, L., Thieme, N., Krenzler, R. & Li, H.https://doi.org/10.1016/j.ejor.2020.05.032

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

Courses academic year 2022/2023

Current projects

Usage Scenarios for Innovation Networks in 5G

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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