Teaching
Courses
2026 — Machine learning B-KUL-B307A4
Students learn the basics of machine learning, including classification, regression, clustering, deep learning, experimental analysis, …
2025 — Machine learning B-KUL-B307A4
Students learn the basics of machine learning, including classification, regression, clustering, deep learning, experimental analysis, …
2024 — Machine learning B-KUL-B307A4
Students learn the basics of machine learning, including classification, regression, clustering, deep learning, experimental analysis, …
2021 — Methodiek Van De Informatica
An introductory course to programming with Python.
Student supervision
Master’s thesis guidance
2025–2026 — Ioannis Goniadis
Title. Feature selection for Time series anomaly detection
Program. Master of Science in Artificial Intelligence
2025–2026 — Thibaut Deliever
Title. Optimizing time series anomaly detection: Automatic algorithm and hyperparameter selection
Program. Master of Science in de ingenieurswetenschappen: computerwetenschappen
2024–2025 — Xiaokun Zhu
Title. Evaluating Time-Series Foundation Models for Time-Series Anomaly Detection
Program. Master of Science in Artificial Intelligence
2024–2025 — Elena Gallego
Title. Analysis of the Effect of the Context Window Characteristics on Contextual Anomaly Detection in Time Series
Program. Master of Science in Artificial Intelligence
2024–2025 — Ishan Pandey
Title. Data augmentation for time series anomaly detection
Program. Master of Science in Artificial Intelligence in Business and Industry
2024–2025 — Cigde Gotkas
Title. Analysis of Large Pretrained Time Series Models for Time Series Anomaly Detection
Program. Master of Science in Artificial Intelligence in Business and Industry
2023–2024 — Ilyas Lemmens
Title. Evaluatie van anomaliedetectie methoden in tijdreeksen via Instance Space Analysis
Program. Master of Science in de ingenieurswetenschappen: computerwetenschappen
2023–2024 — Minoo Safaeikouchaksaraei
Title. Exploring Window Selection Techniques for Anomaly Detection in Time-Series Data
Program. Master of Science in Artificial Intelligence in Business and Industry
2022–2023 — Niels Deweerd
Title. Automatic anomaly rule creation for collections of related time series
Program. Master of Science in Artificial Intelligence in Business and Industry
2022–2023 — Konstantinos Georgakopoulos & Mohamed Alaaeldin Mohamed
Title. Contextual Anomaly Detection for Agricultural Vehicles
Program. Master of Science in Artificial Intelligence in Business and Industry
Project supervision
2026 — Jarno Mechele
Title. Causal discovery in large time-series data
2025 — Guillaume Mertens
Title. Qualitative Evaluation of Time Series Anomaly Detection
Internship students
2026 — Dianguina Bah
Title. Teachable Robot: Developing an Extendable Application for Teaching Machine Vision
2025 — Sylvain Coudray
Title. Teachable robot: developing an interactive coding playground for teaching machine vision
2025 — Christopher Marlot
Title. Time series foundation models for anomaly detection in real-world manufacturing systems
2024 — Enzo Leguy
Title. An Agentic Retrieval Augmented Generation approach for Failure Resolution in Manufacturing Processes