supervision
An overview of the thesis students I have supervised.
PhD Supervision
- (2020-now) I am the daily supervisor of Mette Wagenvoort (project page)
- (2017-2022) I was the daily supervisor of Rolf van Lieshout (project page)
Master Thesis Supervision
This is a list of students who completed their Master Thesis under my supervision within the Master Program in Econometrics and Management Science. I have added the year in which the student has defended the thesis, as well as a link to the thesis on Erasmus University’s thesis hub if available. Theses I co-read have been omitted.
Operations Research and Quantitative Logistics
- David Stapel (2023) - Automating the parameter tuning of a stowage planner (internship at Konecranes)
- Tim Tjhay (2023) - Using Machine Learning predictions in Operations Research techniques to solve the Nurse Rostering Problem (internship at ORTEC)
- Ninette den Breejen (2023) - A Comparison of Local Search Algorithms for the Flexible Job Shop Scheduling Problem for the Production of Greenhouses (internship at KUBO)
- Marieke van Doorn (2022) - Integrating the Parcel and Mail Network (internship at PostNL)
- Veerle Willemse (2022) - Optimizing the Battery Swap Strategy for e-Cargo Bicycles (internship at Districon and Cargoroo)
- Yu Fee Chan (2022) - Traffic Control for Crossing Automated Guided Vehicles on Container Terminals (internship at TBA)
- Fleur van den Berg (2021) - Production Scheduling Optimization at MSD Animal Health (internship at MSD Animal Health)
- Sean Gilbert (2021) - The Effect of Alternative Battery Management Strategies for the Dynamic Dial-A-Ride Problem using an Electric, Autonomous Vehicle Fleet
- Marie-Sophie Graftiaux (2021) - The Impact of Structure and Growth Parameters on Street Networks’ Efficiency
- Wietze Janssen (2021) - Business-wise interests added on customer-based recommendations (internship at winkelstraat.nl)
- AnneMarije van der Puijl (2021) - Employee Scheduling at an Online Grocer (internship at Picnic)
- Cecile van de Stadt (2021) - An optimization under uncertainty approach for allocating barges to public berths in the port of Rotterdam (internship at Port of Rotterdam)
- Shuo Ye (2021) - Urban Morphology and Transport: An analysis on geometric measures and performance of Vehicle Routing Problems
- Myrne Ettema (2020) - A dynamic programming approach for the vehicle routing problem with unpaired trucks and drones
- Daan de Groot (2020) - The Dial a Ride Problem with Platooning: A Genetic Approach
- Romaaike Schellekens (2020) - The dynamic Pickup and Delivery Problem with Inside Transfers
- Sylvia Kaljouw (2019) - Tugboat resting location optimization using AIS data analysis - a case study in the Port of Rotterdam (internship at TNO)
- Joyce Hu (2019) - Monte Carlo Tree Search vs Rolling Horizon Optimization on Wildfires
- Celine Trampe (2019) - Last-mile Delivery using Linked Route Programming for Trucks and Drones
- Mark Bierema (2018) - A Branch-Cut-and-Price algorithm for the Travelling Salesman with Drone
- Eveline van Dijck (2018) - A Branch-and-Cut Algorithm for the Traveling Salesman Problem with Drone
- Milou Hamer (2018) - Optimizing the planning process at Vopak (internship at Vopak)
- Janneke Linders (2018) - Reducing the travel time for the mechanics of KPN while redesigning work districts (internship at KPN)
Business Analytics and Quantitative Marketing
- Philip Verdonk (2024) - Assessing Task-Specific Performance Gains from Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models (internship at Freeday)
- Thomas Bersee (2024) - Evaluating the forecast performance of homogeneous, heterogeneous, and shrinkage estimators applied to automotive after-sales demand (internship at Gibbs Analytics Consulting and Louwman Group)
- Daniel Nierop (2024) - Promoting a Pawn to a Goal
- Rick van Dosselaar (2023) - A Set-to-Set Forecasting Framework for Predicting Local, Non-Isometric Transformations within 3D Objects using Neural Networks (internship at Pipple)
- Chaya Jaggan (2023) - Multi-touch Attribution Modelling Applied to the Telecommunications Industry (internship at KPN)
- Dave Warsito (2023) - Evaluating a Semantics-Driven Ingredient Substitution Heuristic for Vegan Diets using a Food Knowledge Graph (internship at KPMG)
- Quirine Schaub (2023) - Using Prod2vec with or without metadata to nudge retailers towards healthier assortment decisions (internship at Albert Heijn)
- Job Scheltema (2023) - Wildfire risk modelling in Spain using context-sensitive Deep Learning models (internship at KPMG)
- Pawan Rashmi (2022) - Interpretable Unsupervised Anomaly Detection for Drone Behavior (internship at TNO)
- Wander Marijnissen (2022) - Product Region Detection using Faster R-CNN and Transfer Learning for Moonshop Technologies (internship at CapeAI)
- Lieke Klinkenberg (2022) - Optimizing the Customer Solving Process by Means of Reinforcement Learning (internship at KPN)
- Daan Manneke (2022) - Towards Automated Adaptation to Unpredictable Behaviour in Overlay Feedback Control (internship at ASML)
- Nino Foudraine (2021) - Counting urban litter: tracking-by-detection combining YOLOv5 and SORT (internship at Accenture)
- Fenna ten Haaf (2021) - Multimodal Prediction of Glaucoma Severity with Convulutional Neural Networks (internship at the Biomedical Imaging Group Rotterdam of the Erasmus Medical Center)
- Evita Hoogeveen (2021) - The Real-Life Application of Deep Reinforcement Learning to the Hybrid Flow-Shop Scheduling Problem (internship at Pipple)
- Willem Houck (2021) - Data Scarcity in image segmentation (internship at Sobolt)
- Niels Janssen (2021) - Constraining non-parametric models to obtain media effect curves that adhere to the diminishing returns principle (internship at Nielsen)
- Luuk Jonkergouw (2021) - Predicting prices of newly built houses using various machine learning methods (internship at Veneficus)
- Lennert Jansen (2020) - On Algorithmic Fairness and Bias Mitigation in Recidivism Prediction - An econometric view on observed tradeoffs between conflicting definitions of fairness, and the applicability of post-processing methods for bias correction of criminal sentencing algorithms (internship at IBM)
- Kim de Groot (2019) - Exploring Consumer Preferences for Subscription Packages in Public Transport Using Smart Card Data (internship at Lynxx)
Quantitative Finance
- Nicolas Wazni (2023) - Algorithmic Trading Strategies: The Added Value of Sentiment