Nicolas Kuttruff, M.Sc.
Contact
Room: 1571
nicolas.kuttruff(at)tum.de
+49 (0)89 289 28204
Office Hours
by appointment
Research interests
- Machine Learning, Metaheuristics
- Transportation Optimization
Teaching
- Computational Logistics (Summer, Master)
- Transportation Analytics (Winter, Master)
Conference Presentations
- 2024: 11th INFORMS Transportation Science and Logistics Society Workshop (TSL 2024), Nantes, France
- 2025: INFORMS Annual Meeting, Atlanta, GA, USA
Academic Career and Positions held to date
- Since 01/2024: Research assistant at the Chair of Logistics and Supply Chain Management (Prof. Dr. Stefan Minner), Technical University of Munich
- 2019: Math tutor for incoming graduate students, Technical University of Munich
Education
- 2021 - 2023: Graduate studies in Management and Technology (specialization in Operations & Supply Chain Management and Computer Science), Technical University of Munich
- 2020: Graduation as Bachelor of Science in Management and Technology (B.Sc.), Technical University of Munich
- 2019 - 2020: Erasmus student, Ghent University (Belgium)
- 2017 - 2020: Undergraduate studies in Management and Technology, Technical University of Munich
Honors & Awards
- Finalist in the INFORMS TSL Data-Driven Research Challenge (TSL-Meituan 2024)
Practical Experience
- 10/2021 - 09/2023: Working Student ebp-consulting GmbH (Transportation Management)
- 03/2021 - 09/2021: Internship BMW-Group (Concept and Process Planning Logistics)
Master Theses:
- Cost-Sensitive Quality Control with Learning to Defer Analysis
- Optimizing Hydrogen Station Locations for Sustainable Last-Mile Urban Delivery
- Optimizing a Hub Network Design for Drone-Based Medical Deliveries under Weather-Related Disruption Risks
- Bi-level Hyperparameter Optimization for Capacitated Vehicle Routing Problem Algorithms
- Hybrid Quantum-Classical Bender's Decomposition for MILPs in Logistics and Operations Research
- Sustainable Airline Planning using a Stochastic Mixed Integer Programming Approach
- Inventory Routing with Minimum Utilization Constraints
Bachelor Theses:
- Time Series Classification for Imbalanced Datasets using Machine Learning: Challenges and Methodologies
- Design and Optimization of a Two-Echelon Vehicle Routing Problem for Sustainable Urban Delivery in Munich Using Micro-Depots
- Effect of Satellite Capacity on Routing Performance in 2E-VRP
- Feature Importance and Selection Strategies for Optimal Classification Trees : A Comparative Study
- Cloud and Edge Computing for Supply Chains: A Literature Review
- Solving the Multiple-Order Assignment Problem in On-demand Food Delivery
- Analyzing Courier Decision-Making Influences on Order Acceptance in On-Demand Food Delivery Platforms
Project Studies and Interdisciplinary Projects:
- Anomaly Detection for an Additive Manufacturing Process using Artificial Intelligence
- Algorithmic Frameworks for Very Large-Scale Vehicle Routing Problems: Competing in the BKS Challenge
- Solving Heterogeneous Vehicle Routing Problems with Minimum Utilization Constraints
For open topics, please see here.