I am a computer vision and machine learning researcher, a member of the Visics group, KU Leuven. I have obtained my PhD degree from KU Leuven where I worked under the supervision of prof. Tinne Tuytelaars . My research interests lie in transfer learning and continual learning where I believe that the learning of machines should never stop as we humans do.
From Nov 2018 to Feb 2019 I was in a research visit to Mila working on Continual Learning with Dr. Min Lin and prof. Yoshua Bengio.
Before, I attended the Machine Learning and Data Mining MLDM joint master program between Jean Monnet University, France and University of Alicante, Spain. My research during master's degree was focused on Domain Adaptation for both computer vision and medical imaging.
I have a computer science engineering degree with artificial intelligence specialization from Damascus University, Syria.
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi*, Lucas Caccia*, Eugene Belilovsky*, Massimo Caccia*, Min Lin, Laurent Charlin, Tinne Tuytelaars in 2019 Conference on Neural Information Processing (NeurIPS'19).
Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases
R Aljundi, J Lehaire, F Prost-Boucle, O Rouviere, C Lartizien in ICML'15 Workshop on Machine Learning meets Medical Imaging.
- Jun 2018: FWO PhD fellowship (renewal) for fundamental research
- Jun 2016: The winner reading group, ICVSS 2016 summer school
- Apr 2016: FWO PhD fellowship for fundamental research
- May 2014: 2nd place at ImageCLEF Domain Adaptation challenge.
- Jul 2011: 3rd position in Fikra Competition for innovative ideas provided by ICT
incubator for my B.Sc. graduation project "Online Human Tracking System".
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