Martijn Boussé (M.)

I am an Assistant Professor at Maastricht University in the Department of Advanced Computing Sciences (DACS) where I am the coordinator of the Computing Sciences Education (CSE) research theme, which aims to enhance education through artificial intelligence and data science. I completed my PhD in 2019 at KU Leuven, Belgium.

I focus on two major research lines:

1. Tensor-based signal processing methods and applications such as blind source separation, blind system identification, and recurrence plots.
2. Scalable and innovative assessment design in STEM such as AI-based teaching assistants and continuous assessment design.

I have various other roles at the Faculty of Science and Engineering (FSE) and Maastricht University (UM):

• I am a trainer for the University Teaching Qualification at the Faculty of Science and Engineering where I teach new staff about the university's vision on Teaching and Learning. 
• I am a member of the Faculty Council, providing a bridge between the faculty board, staff, and students.
• I am the coordinator of the FSE Presenting Club, which is part of the FSE Stem Graduate School, where I organize workshops and community events on effective communication.
• I am the FSE representative on the EDLAB Education Research Sounding Board, which aims to enhance inter-faculty connections and create coherence in education research.

Relevant keywords: tensors, tensor decompositions, tensor methods, optimization, numerical linear algebra, blind source separation, blind system identification,  pattern recognition, recurrence plots, education innovation, assessment.