HomeEducationStudent Services/ContactNews & eventsColloquia by facultyBMS colloquiaMaster colloquium Stan Vroemen (MSc-IEM): Enhancing Scenario-Based Anomaly Detection: An Explainable Machine Learning Framework for Financial Crime Compliance

Master colloquium Stan Vroemen (MSc-IEM): Enhancing Scenario-Based Anomaly Detection: An Explainable Machine Learning Framework for Financial Crime Compliance

Within the framework of the Master of Science programme Industrial Engineering & Management

 

 

Stan Vroemen

 

will present and defend a thesis entitled:

 

Enhancing Scenario-Based Anomaly Detection: An Explainable Machine Learning Framework for Financial Crime Compliance

 

Date       :    12-03-2026

Time      :    10:45 hrs

Room     :    HalB 2D

 

 

 

Committee members

 

·      J.R.O. Osterrieder

·      Dr. B. Roorda

·      Yulun Wu (external member)

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