Thanks for stopping by! I obtained my Ph.D. in June, 2022 from
Mila and
Université Laval supervised by Prof.
Jean-François Lalonde and Prof.
Christian Gagné. I am working on meta-learning, representation learning, and self-supervised learning in low supervision conditions.
With my supervisors, we first proposed the idea of associative alignment for few-shot image classification at the European Conference on Computer Vision (
ECCV) 2020 to increase the model capacity of the conventional few-shot methods. Then, we proposed a mixture model-based representation learning approach at International Conference on Computer Vision (
ICCV) 2021 to learn a robust multi-modal feature space in a semi-supervised way which improves few-shot image classification.
While working with my supervisors, I finished my third Ph.D. project in collaboration with Prof.
Hugo Larochelle. The work proposes a novel representation learning method based on a hybrid CNN/transformer-type architecture, which has been accepted to International Conference on Computer Vision and Pattern Recognition (
CVPR) 2022.
Before the Ph.D., I was an M.S. student at biomedical and computer engineering at
METU under the supervision of Prof.
Fatoş T. Y. Vural.
I was a research assistant at
METU-fMRI and worked on several fully-funded projects on medical image analysis using machine learning.
I was also a teaching assistant for two related graduate-level courses:
a) Pattern Recognition and Machine Learning (
Bioshp, 2008 based),
and b) Deep Learning (
Goodfellow et al. 2016 based). I am working toward publicly sharing my course slides for Bishop's book.
I was born and raised in
Band, a beautiful village on the pale blue dot.
← Back Home