| Ruben Janssens, PhD | 2026 | Tony Belpaeme, Thomas Demeester | Visually Grounded Adaptive Social Dialogue for Robots |
| Yi Liu, PhD | 2026 | Francis wyffels, Andreas Verleysen | Learning-Based Approaches for Robotic Manipulation with Everyday Items |
| Axel Willekens, PhD | 2025 | Francis wyffels, Simon Cool, Jan Pieters | A Robot Taskmap Operation Framework to Support Precision Crop Farming |
| Jarne Van den Herrewegen, PhD | 2025 | Francis wyffels, Tom Tourwé | Self-Supervised Learning with 3D Objects |
| Qiaoqiao Ren, PhD | 2025 | Tony Belpaeme, Francis wyffels | The Social and Affective Touch in Human–Robot Interaction: Multisensory, Contextual, and Embodied Perspectives |
| Stefan Iacob, PhD | 2025 | Joni Dambre, Panayiota Poirazi | Impact of Axonal Delays in Reservoir Computing |
| Victor-Louis De Gusseme, PhD | 2025 | Francis wyffels, Andreas Verleysen | Towards Robots for Domestic Laundry |
| Rembert Daems, PhD | 2025 | Guillaume Crevecoeur, Francis wyffels, Tolga Birdal | Learning from Video in Continuous Time Using Physics Priors and Fractional Noise |
| Seppe Hermans, PhD | 2025 | Peter Van Petegem, Francis wyffels | Building Minds by Solving Problems: Exploring CT and STEM Integration in Vocational Education |
| Pieter Wolfert, PhD | 2024 | Tony Belpaeme, Francis wyffels | Co-Speech Gestures: Evaluation and Generation |
| Mathieu De Coster, PhD | 2024 | Joni Dambre, Mieke Van Herreweghe | Neural Sign Language Recognition and Translation: Towards Sign Language Applications Powered by Artificial Intelligence |
| Maxim Bonnaerens, PhD | 2023 | Joni Dambre, Matthias Freiberger | Resource-Efficient Deep Learning for Computer Vision |
| Tom Neutens, PhD | 2022 | Francis wyffels, Kris Coolsaet | Physical computing in primary and secondary education: techniques and tools for teaching and assessment |
| Andreas Verleysen, PhD | 2022 | Francis wyffels, Joni Dambre | Learning robotic cloth manipulation |
| Olivier Pieters, PhD | 2022 | Francis wyffels, Tom De Swaef, Michiel Stock | Reservoir computing with plants |
| Gabriel Urbain, PhD | 2021 | Francis wyffels, Joni Dambre | Biologically inspired locomotion of compliant robots |
| Iryna Korshunova, PhD | 2020 | Joni Dambre, A. Gretton | BRUNO: exchangeable deep learning models of predictive distributions |
| Luthffi Ismail, PhD | 2020 | Francis wyffels, Tony Belpaeme, F. A. Hanapiah | Improvement of child-robot interaction for children diagnosed with cognitive impairments |
| Matthias Freiberger, PhD | 2020 | Joni Dambre, Peter Bienstman | Scaling up integrated photonic reservoirs towards low-power high-bandwidth computing |
| Patricio Astudillo, PhD | 2020 | Joni Dambre, Peter Mortier | Cardiovascular medical image analysis with deep learning |
| Fréderic Godin, PhD | 2019 | Wesley De Neve, Joni Dambre | Improving and interpreting neural networks for word-level prediction tasks in natural language processing |
| Lionel Pigou, PhD | 2018 | Joni Dambre, Mieke Van Herreweghe | Gesture and sign language recognition with deep learning |
| Jonas Degrave, PhD | 2018 | Francis wyffels, Joni Dambre | Incorporating prior knowledge into deep neural network controllers of legged robots |
| Thibault Verhoeven, PhD | 2017 | Joni Dambre, Pieter-Jan Kindermans, Pieter van Mierlo | Brain-computer interfaces with machine learning: a symbiotic approach |
| Cesar Vandevelde, PhD | 2017 | Jelle Saldien, Francis wyffels | Study on the design of DIY social robots |
| Sander Dieleman, PhD | 2016 | Joni Dambre, Benjamin Schrauwen | Learning feature hierarchies for musical audio signals |
| Aäron van den Oord, PhD | 2015 | Joni Dambre, Benjamin Schrauwen | Deep architectures for feature extraction and generative modeling |
