- Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows. Transportation Science, 2024 mehr…
- Machine Learning-Based Combinatorial Optimization to Solve the Dynamic Vehicle Routing Problem with Time Windows. (Vortrag / TSL Conference 2023, Chicago, Illinois, USA) 2023 mehr…
- Combinatorial Optimization Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows. 2023, mehr…
- Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control. 2023, mehr…
- Structured-Learning-Based Fleet Control for Autonomous Mobility-on-Demand Systems. (Vortrag / TRISTAN XI 2022, Mauritius) 2022 mehr…
Kai Jungel
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Short Biography
Kai Jungel is a Ph.D. student at the Professorship of Business Analytics & Intelligent Systems. In his bachelors and masters he studied Industrial Engineering at the KIT in Karlsruhe. His research is centered on the application of machine learning on operations research problems with a strong focus on future urban mobility systems, such as autonomous mobility on demand, smart cities and intermodal transportation. Moreover, he has a strong passion for Explainable AI.
In his spare time, Kai enjoys playing soccer and American Football. Additionally, he worked as a junior soccer coach.
Research Interests
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Machine learning for operations research
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Deep learning for networked cities
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Explainable AI