members
Members of AIRO at IDLab - Ghent University
If you want to reach an individual member of the group, send them an email on firstname.lastname@ugent.be.
academic staff
Prof. Tony Belpaeme
Prof. Joni Dambre
Prof. Francis wyffels
senior researchers
Dr. Andreas Verleysen
Dr. Mathieu De Coster
Dr. Tom Neutens
researchers
Axel Willekens
Chen Fang
Danial Forouhar
Dries Marzougui
Edger Rutatola
Eva Verhelst
Giulio Antonio Abbo
Jarne Van den Herrewegen
Louis Adriaens
Maria José Pinto
Matthias Pex
Natacha Gesquière
Peter De Roovere
Qiaoqiao Ren
Remko Proesmans
Ruben Janssens
Stefan Iacob
Tanguy Cazalets
Thomas Lips
Toon Vandendriessche
Victor-Louis De Gusseme
Willem Lapage
Wouter Bogaert
Yi Liu
Yuyuan Wu
current visiting members
- Dr. Ioannis Lefkos, University of Macedonia, Greece
past visiting members
- Dr. Riddhi Das, IIT Genova
- Paulo Cardoso, IST Lisbon
- Giulia Pusceddu, IIT Genova
- Martina de Eccher, University of Göttingen
- Fatih Sivridag, University of Göttingen
vacancies
There are currently no vacancies. But feel free to reach out to us! We can assist you in applying for a personal scholarship to complete a PhD in AIRO.
graduated doctoral students
| Graduate (Year) | Supervisors | Dissertation |
|---|---|---|
| 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 |