Biography
André Gagné is Full Professor and Chair of the Department of Theological Studies. He has a conjoint PhD from l'Université catholique de Louvain (Louvain-la-Neuve, Belgium) and l'Université de Montréal, a M.A. and B.Th. from l'Université de Montréal.
His teaching and scholarship focus on political theology, religion and violence, and the interpretation and reception of Scripture.
In 2023, Dr. Gagné was appointed as member of the National Expert Committee on Countering Radicalization to Violence with Public Safety Canada. He is also member of the Centre for the Study of Learning and Performance (Concordia), a research associate with the Centre de recherche Société, Droit et Religions (Université de Sherbrooke), and a member of the Political Theology Research Group.
Dr. Gagné has published 8 books and multiple academic articles (see his CV for details), and his work has been featured over 350 times in media outlets such as the New York Times, Washington Post, Huffington Post, The Guardian, The Times Literary Supplement, Globe and Mail, Toronto Star, The New Republic, Al-Jazeera, GQ, Salon, Mother Jones, Montreal Gazette, Religion News Services, Religion Dispatches, Daily Kos, Le Monde, Libération, France Inter, Les Grands reportages RFI, Médiapart, France Culture, Le Figaro, Paris Match, Le Parisien, Le Devoir, La Presse, CTV W5, RDI 24/60, etc.
Masked supervised learning for semantic segmentation
H. Zunair and A. Ben Hamza
Proc. British Machine Vision Conference (BMVC), 2022.
Fill in Fabrics: Body-aware self-supervised inpainting for image-based virtual try-on
H. Zunair, Y. Gobeil, S. Mercier, and A. Ben Hamza
Proc. British Machine Vision Conference (BMVC), 2022.
Higher-order implicit fairing networks for 3D human pose estimation
J. Quan and A. Ben Hamza
Proc. British Machine Vision Conference (BMVC), 2021.
A federated learning approach to anomaly detection in smart buildings
R. Abdel Sater and A. Ben Hamza
ACM Transactions on Internet of Things, 2021.
Synthetic COVID-19 chest X-ray dataset for computer-aided diagnosis
H. Zunair and A. Ben Hamza
Proc. ICML Workshop on Computational Biology, 2021.
STAR: Noisy semi-supervised transfer learning for visual classification
H. Zunair, Y. Gobeil, S. Mercier and A. Ben Hamza
Proc. ACM International Workshop on Multimedia Content Analysis in Sports, 2021
MoNuSAC2020: A Multi-organ nuclei segmentation and classification challenge
R. Verma et al.
IEEE Transactions on Medical Imaging, 2021.
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation
H. Zunair and A. Ben Hamza
Computers in Biology and Medicine, 2021.
Anisotropic Graph Convolutional Network for Semi-supervised Learning
M. Mesgaran and A. Ben Hamza
IEEE Transactions on Multimedia, 2020.
Melanoma detection using adversarial training and deep transfer learning
H. Zunair and A. Ben Hamza
Physics in Medicine & Biology, 2020.
A global geometric framework for 3D shape retrieval using deep learning
L. Luciano and A. Ben Hamza
Computers & Graphics, 2019.
Deep learning with geodesic moments for 3D shape classification
L. Luciano and A. Ben Hamza
Pattern Recognition Letters, 2018.
Spectral shape classification: A deep learning approach
M. Masoumi and A. Ben Hamza
Journal of Visual Communication and Image Representation, 2017.
Shape retrieval of non-rigid 3D human models
D. Pickup et al.
International Journal of Computer Vision, 2016.
Deep shape-aware descriptor for nonrigid 3D object retrieval
H. Ghodrati and A. Ben Hamza
International Journal of Multimedia Information Retrieval, 2016.
Geometric methods in signal and image analysis
H. Krim and A. Ben Hamza
Cambridge University Press, 2015.
