Fall 2023: Advances in Data Mining (AIDM) (Teachers: Dr. W.J. Kowalczyk and Prof. Dr. A.J. Knobbe) 

Fall 2022: Advances in Data Mining (AIDM) (Teacher: Dr. W.J. Kowalczyk) 

Fall 2021: Advances in Data Mining (AIDM) (Teacher: Dr. W.J. Kowalczyk) 

• Spring 2017: Statistics (Teacher: Prof. Dr. Zhijian Qian)

• Fall 2016: Probability Theory and Mathematical Statistics  (Teacher: Prof. Dr. Sili Niu)

[Position Cancelled]: Knowledge-based & Data-driven Inkjet Jet Failure Detection and Classification, 2024 - 2024 , Leiden University (collaborated  with Canon)

Yuhang Wang: Unsupervised Model Selection for Graph Representation Learning, December 2023 - July 2024 (Cum Laude), Leiden University 

Timo Vos: Predictive Maintenance of Lithography System Using Log Anomaly Detection, December 2023 - August 2024, Leiden University (collaborated  with VDL-ETG and ASML)

Yuxuan Zhu: Data-driven inkjet jet failure detection and classification using piezo self-sensing, July 2022 - March 2023 , Leiden University (collaborated  with Canon Production Printing) (Now PhD student at Rensselaer Polytechnic Institute)

 Samuel Smulders: Automated feature selection for unsupervised anomaly detection with internal evaluation strategies, February 2023 - July 2023, Leiden University

Milan Luijken: The effects of feature selection on anomaly detection, March 2022 - December 2022, Leiden University