Teaching and Supervision

Teaching Experience

During my studies and work experiences, I have gained teaching experience across different cultures, disciplines, and institutions.

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 – Guest Lecturer on Machine Learning for Multimodal Human Behavior

• Program: Summer School on Practical Approaches to Human Multimodal Behavior at Radboud University
• Responsibilities: Delivered a 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