Teaching and Supervision
Teaching Experience
Max Planck Institute for Psycholinguistics
2024 – Course Coordinator and Lecturer
- Course: Programming for Research
- Program: International Max Planck Research School (IMPRS) for Language Sciences
2025 – Co-plenary lecture and two-days hands-on workshop on multimodal interaction with Raquel Fernández
University of Amsterdam
2023 – Course Co-Coordinator and Lecturer
- Course: Natural Language Models and Interfaces (NTMI), Bachelor of AI
- Responsibilities: Co-coordinated and lectured a course on natural language processing, emphasizing modern neural language models and interfaces.
2024 – Guest Lecturer on Gesture Modelling in Face-to-Face Dialogues
- Course: Natural Language Processing 2, Master of AI
- Responsibilities: Delivered a lecture on gesture modeling and representation in face-to-face dialogues.
2023 – Guest Lecturer on multimodal communication
- Course: Natural Language Processing 1, Master of AI
- Responsibilities: Focused on the role of co-speech gestures in multimodal communication.
2023 – Lecturer on Machine Learning for Multimodal Human Behavior
- Program: Summer School on Practical Approaches to Human Multimodal Behavior at Radboud University
- Responsibilities: Delivered an introductory lecture during a summer school focusing using machine learnin for multimodal behavior data analysis.
Maastricht University
2022 – Tutor
- Course: Research Project Artificial Intelligence 2, Bachelor of Data Science and Artificial Intelligence
- Responsibilities: Conducted weekly meetings to guide students through their research projects, focusing on content, workload management and group dynamics.
2017-2019 – Head Teaching Assistant and Tutor
- Course: Computer Vision (KEN4255), Master of AI
- Responsibilities: For three years, I co-designed project homework and guided over 50 students through the computer vision course, providing tutorials and support as the main teaching assistant.
2016 – Teaching Assistant
- Course: Programming (PRA2003), University College Maastricht
- Responsibilities: Assisted with teaching introductory programming (in Java), providing support to students in learning programming fundamentals.
Istanbul Technical University (ITU)
2015 – Teaching Assistant
- Course: Content-based Image and Video Retrieval (BLG 544E), Master of Computer Engineering
- Responsibilities: Assisted in teaching a course focused on image and video retrieval systems, evaluating students projects and providing feedback.
Daily Supervision Experience
Throughout my academic career, I have supervised Master’s students, Ph.D. candidates, and interns on diverse research topics such as emotion recognition, explainable AI (XAI), and self-supervised learning. These collaborations have often led to publications in prominent venues.
2020-2021 – Bulat Khaertdinov, Ph.D. Candidate at Maastricht University
- Focus: Self-supervised learning for human activity recognition
- Publications: PerCom2021, IJCB21, IEEE Transactions on Biometrics, Behavior, and Identity Science
2024 – Jacquelin Hana, Master of Data Science at University of Amsterdam
- Topic: Reference Resolution through Patterns of Speech and Gestures in Face-to-Face Dialogues
2021 – Andre Mertens, Master of AI at Maastricht University
- Thesis: Explainable and Interpretable Features of Emotion in Human Body Expression
- Published at: BNAIC/BeneLearn 2021
2020 – Jan Lucas, Master of AI at Maastricht University
- Thesis: Deep, Dimensional, and Multimodal Emotion Recognition Using Attention Mechanisms
- Published at: BNAIC/BeneLearn 2020
2017 – Justus Schwan, Master of AI at Maastricht University
- Thesis: Automatic Recognition of Screen Worker’s Engagement
2017 –Evangelos Trikoupis, Bachelor of AI at Maastricht University
- Thesis: Adaptation of collaborative learning games for engagement maximization
Internship Supervision
2017 – Justus Schwan, Master of AI at Maastricht University
- Focus: Emotion recognition and Published at: Semantic and Social Media Adaptation and Personalization (SMAP) 2017