- Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces. The Twelfth International Conference on Learning Representations (ICLR), 2024Vienna Austria mehr…
- Strategic Workforce Planning in Crowdsourced Delivery with Hybrid Driver Fleets. 2023, mehr…
- On the Design of Crowdsourced Delivery Fleets: Strategic Decisions and Operational Implications. (Vortrag / TRISTAN XI Conference, Mauritius) 2022 mehr…
- On the Design of Crowdsourced Delivery Fleets: Strategic Decisions and Operational Implications. (Vortrag / International Annual Conference of the German OR Society 2021, Virtual) 2021 mehr…
Julius Luy
Former PhD Student
Short Biography
Julius is a Ph.D. student at the Professorship of Business Analytics & Intelligent Systems. He obtained a master’s degree in Engineering Sciences from TU Berlin and in Business Administration from Collège des Ingénieurs in Paris. He works as management consultant at McKinsey & Company. His research focuses on emerging business models in the context of city logistics, especially crowd delivery, and the optimization of parcel delivery in a highly stochastic environment by applying machine learning techniques.
In his free time Julius enjoys reading, engaging in all sorts of sports (incl. but not limited to football, fitness, hiking, jogging, squash), and playing guitar.
Research Interests
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Emerging business models in city logistics, especially crowd delivery and platform economy
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Dynamic and stochastic vehicle routing with uncertain demand and couriers
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Machine learning applied to combinatorial optimization