Supervision

    PhD students

  • Jos Prinsen, Tilburg University (2025 - ongoing)
    Co-supervision with Marie Postma and Travis Wiltshire
    Topic: Human performance and human-swarm teaming.
  • Sofia Mabrouk, Université Clermont Auvergne (2025 - ongoing)
    Co-supervision with Johann Chevalere
    Topic: The effectiveness and psychological processes underlying the use of teachable robots for human learning.
  • Matthijs de Koning, Tilburg University (2024 - ongoing)
    Co-supervision with Marie Postma and Roy Lindelauf
    Topic: Actionable and interpretable artificial intelligence in the context of drone swarming.
  • Bosong Ding, Tilburg University (2023 - ongoing)
    Co-supervision with Giacomo Spigler and Pieter Spronck
    Topic: Large non-verbal Language Models for human-agent interaction and cooperation.

    • MSc students

  • Selma Ancel, CSAI, Tilburg University (2026)
    Topic: Gesture style transfer for retrival augmented generation.
  • Joshua Janssen, CSAI, Tilburg University (2026)
    Topic: Watching without waiting: Real-time work-state recognition for collaborative robots.
  • Christophe Friezas Gonçalves, CSAI, Tilburg University (2025)
    Topic: Multi-agent systems in search and rescue missions.
  • Franklin Willemen, DSS, Tilburg University (2024)
    Topic: Unsupervised representation learning for human action and affordance recognition.
  • Mehmet Bakirci, DSS, Tilburg University (2024)
    Topic: Instance segmentation on automatic self-checkout.
  • Giacomo Rusconi, DSS, Tilburg University (2024)
    Topic: Predicting the popularity of spotify songs using a neural network.
  • Volha Taliaronak, Informatik, Humboldt-Universität zu Berlin (2023)
    Topic: Robot trust formation based on computational cognitive load and interaction partner’s nonverbal signals.
  • Evelyn Pomasqui, DSS, Tilburg University (2023)
    Topic: Deep reinforcement learning for object classification.
  • Diego Sanchez Perez, DSS, Tilburg University (2023)
    Topic: Prosperity at first sight? Estimating material well-being and development from daytime satellite imagery.
  • Robbie Werner, DSS, Tilburg University (2023)
    Topic: Vehicle classification using UAV imagery.
  • Elsbeh Nieuwkamp, DSS, Tilburg University (2023)
    Topic: Predicting job satisfaction using logistic regression, support vector machine, and random forest models.
  • Jara Manders, DSS, Tilburg University (2023)
    Topic: Analyzing gender and ethnicity pay gaps through salary prediction models.
  • Maeve Zweers, DSS, Tilburg University (2023)
    Topic: Predicting customers' willingness to pay for digital music.
  • Martijn Wubbels, DSS, Tilburg University (2023)
    Topic: Comparison of neural networkds and word embeddings for sentiment prediction.
  • Shifrah Goldblatt, DSS, Tilburg University (2022)
    Topic: Deep learning for classifying object using the iCub robot dataset.
  • Tom Weerts, DSS, Tilburg University (2022)
    Topic: The next member of your household might be a robot: A Multimodal Deep Learning approach in everyday-object recognition developed for robot implementation.
  • Isabella de Haan, DSS, Tilburg University (2022)
    Topic: Predicting airline passenger satisfaction using feature selection techniques and classification algorithms.
  • Kas Kniesmeijer, DSS, Tilburg University (2022)
    Topic: Ensemble learning to recognize human actions using the iCub robot multimodal dataset.
  • Kees Wagemans, DSS, Tilburg University (2022)
    Topic: Deep learning based object recognition model for humanoid robot.

    • Undergraduate students

  • Alper Aras, CSAI, Tilburg University (2025)
    Topic: Predicting geometrical parameters of nanostructures using machine learning.
  • Ece Çevik, CSAI, Tilburg University (2025)
    Topic: Facial emotion recognition on distinct Japanese emotion "Ahegao".
  • Fran Ogurlic, CSAI, Tilburg University (2025)
    Topic: Quantum support vector regression for predicting atomization energy.
  • Merve Şafak, CSAI, Tilburg University (2025)
    Topic: Supervised anomaly detection in Mars rover telemetry using machine learning and deep learning models.
  • Michal Stetina, CSAI, Tilburg University (2025)
    Topic: A comparative analysis of object detection methods in autonomous driving.
  • Mihnea Angheluta, CSAI, Tilburg University (2025)
    Topic: Particle swarm optimization for multimodal action recognition.
  • Farah Khabbaz, CSAI, Tilburg University (2024)
    Topic: Deep learning based semantic segmentation techniques on Carla dataset.
  • Kees Kamp, CSAI, Tilburg University (2024)
    Topic: Knowledge distillation applied to image emotion recognition models.
  • Juul van Kessel, CSAI, Tilburg University (2024)
    Topic: Exploring the frontier of collaborative intelligence: Multi-agent large language models in company problem solving.
  • Moniek Tummers, CSAI, Tilburg University (2024)
    Topic: Fall detection using machine learning: Finding the optimal positions for wearable inertial sensors.
  • Pramatya Jati, CSAI, Tilburg University (2024)
    Topic: Not specified.
  • Joshua Janssen, CSAI, Tilburg University (2024)
    Topic: Comparative analysis of machine learning algorithms for fake news detection.
  • Naz Kilicoglu, CSAI, Tilburg University (2024)
    Topic: Assessing visual design and explainability levels in healthcare chatbots on user trust, adherence and satisfaction.
  • Quint Smits, CSAI, Tilburg University (2023)
    Topic: Deep reinforcement learning approach to general game testing.
  • Christophe Friezas Gonçalves, CSAI, Tilburg University (2023)
    Topic: A deep learning approach on fusion technique comparison applied to affordance classification.
  • Dominic Armand Stamatoiu, CSAI, Tilburg University (2023)
    Topic: AI-oriented communication in a game engine with hybrid multi-agent systems using reinforcement learning.