Teaching & Supervision

I have been serving as a teaching assistant and co-supervisor for students’ theses. Please drop me an email if you have any questions regarding the courses or theses.

Teaching Assistant of the following Courses

• Leiden University
  • 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)
• Tongji University
  • Spring 2017: Statistics (Teacher: Prof. Zhijian Qian)
  • Fall 2016: Probability Theory and Mathematical Statistics (Teacher: Prof. Sili Niu)

Co-supervisor of the following students

• Master Students
  • 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)
• Bachelor Students
  • 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