Members of the GAIM Research Group
Professors
Researchers
| NAME |
E-MAIL |
PHONE NUMBER |
LOCATION |
PHOTO |
|---|
| | | | |
| M.Sc. Yoann Arhant |
Yoann.Arhant@UGent.be |
+32 9 264 4239 |
27.11.110.030 |
 |
| MSc. Xianlu Li |
Xianlu.Li@UGent.be |
+32 9 264 4239 |
27.11.110.030 |
 |
| ir. Ide Van den Borre |
Ide.VandenBorre@UGent.be |
+32 9 264 4239 |
27.11.110.030 |
 |
| M.Sc. Nicolas Vercheval |
Nicolas.Vercheval@UGent.be |
+32 9 264 4921 |
40.08.130.072 |
 |
| ir. Niels Vyncke |
Niels.Vyncke@UGent.be |
+32 9 264 4239 |
27.11.110.030 |
 |
| M.Sc. Ting Zhao |
Ting.Zhao@UGent.be |
+32 9 264 4239 |
27.11.110.030 |
 |
Former Members
Master Students
| NAME |
THESIS TITLE |
YEAR |
|---|
| | |
| Nick Van Osta |
Neuro-Evolutionary Deep Reinforcement Learning for Robotic Control |
2021/2022 |
| Axel Jové Lettens |
U-Net Architecture for Paint Loss Detection |
2021/2022 |
| Thiebe Stegen |
Deep Subspace Clustering for Hyperspectral Images |
2021/2022 |
| Simon Schoonjans |
Multimodal Image Registration Using Deep Reinforcement Learning |
2021/2022 |
| Pieter-Jan Vandaele |
Classical Coding Approaches to Quantum Applications |
2021/2022 |
| Régis Schulze |
Classical and Quantum Approaches to Belief Propagation Algorithms: Application to Communications |
2021/2022 |
| Nigel Mestach |
U-Net Architecture for the Detection of Cracks in Panel Paintings |
2021/2022 |
| Matthias Mertens |
Quaternionisch Schaars Representatiemodel: Interpreterbare Fundering Voor Diep Leren |
2021/2022 |
| Zeno Dhaene |
Capsule Networks for Hyperspectral Image Classification: From Theory to Practice |
2020/2021 |
| Jens Janssens |
Demystifying Convolutional Neural Networks Using Sparse Coding: Application to Medical Image Segmentation |
2020/2021 |
| Jente Simoens |
Skin Cancer Related Feature Visualization using Advanced Image Processing |
2020/2021 |
| Maxim Verwilst |
Deep Image Hashing Based on Variational Autoencoders |
2020/2021 |
| Bert Christiaens |
Network Explainability via Content Based Image Retrieval |
2020/2021 |
| Arno Heirman |
Machine-learning-based Attribute Detection and Segmentation of Lesions |
2020/2021 |
