Teaching and Supervision
My teaching goals revolve around fostering students’ knowledge, interests, and personal growth to prepare them for future challenges in the field of AI. In teaching, I am interested in supporting students’ critical thinking and collaboration in real-world problems to deepen their theoretical and practical understanding of learning materials. I pay significant attention to motivating students to participate and engage interactively during lectures.
During my studies and work experiences, I was lucky to gain teaching experiences across different cultures, disciplines, and institutes.
- 2023 – Kunstmatige intelligentie – Bachelor (Bachelor of AI), University of Amsterdam
- Course co-coordinator and lecturer of Natuurlijke Taalmodellen en Interfaces (NTMI) - Natural Language Models and Interfaces
- 2022 – BSc Data Science and Artificial Intelligence, Department of Advanced Computing Sciences(DACS), Maastricht University
- Tutor in DACS’s Research Project MAI 2. The projects span periods 4, 5, & 6.
- In this project course, I had regular weekly meetings with students to help them manage the workload and group dynamics and simulate self-learning to deliver the final project.
- 2017 - 2019 – MSc Artificial Intelligence, Department of Advanced Computing Sciences (DACS), Maastricht University
- Graduate TA of Computer Vision (KEN4255) in Period 5 for several years.
- In this course, I was responsible for co-designing project homework and guiding more than 50 participating students through the computer vision course as a head teaching assistant at UM for three years in the AI master program. I also gave recitation tutorials and answered students’ questions about the course materials.
- 2016 - University College Maastricht (UCM), Maastricht University
- TA in Programming (PRA2003) in period 4.
- 2015 – MSc Computer Engineering, Istanbul Technical University
During my academic work, I have supervised Master’s students and a Ph.D. candidate for their theses. I have supervised students’ research projects regularly and enthusiastically on diverse topics such as emotion recognition, XAI, and self-supervised learning, resulting in publications at prominent venues.
- MSc Students (daily supervisor)
- 2021 - Andre Mertens: Explainable and Interpretable Features of Emotion in Human Body Expression
- 2020 - Jan Lucas: Deep, Dimensional, and Multimodal Emotion Recognition Using Attention Mechanisms
- Ph.D. candidates (daily supervisor)
- 2020-2021 - Bulat Khaertdinov. With Bulat, we published several papers on Self-supervised learning for human activity recognition.