Étudiants

Name	Program	Advisor	Research
Hoel Kervadec	Postdoctoral fellow	Ismail Ben Ayed and Jose Dolz	Deep learning models for medical image segmentation.
Soufiane Belharbi	Postdoctoral fellow	Eric Granger, Ismail Ben Ayed, and Luke McCaffrey (Mcgill)	Weakly supervised deep learning in biological/medical image analysis.
Imtiaz Ziko	Postdoctoral fellow	Ismail ben Ayed and Eric Granger	Efficient clustering for large scale applications.
Le Thanh Nguyen-Meidine	PhD	Eric Granger	CNN compression, Domain Adaptation for Classification and Object Detection.
Boudiaf Malik	PhD	Ismail ben Ayed and Pablo Piantanida	Information Theory, Computer Vision and Optimization.
Madhu Kiran	PhD	Eric Granger	Head tracking for real-time video surveillance applications.
Faniya Mokhayeri	PhD	E. Granger, G.-A. Bilodeau	Synthetic Face Generation for Still to Video Face Recognition.
Roghayeh Soleymani	PhD	Eric Granger and Giorgio Fumera	Machine Learning, Imbalanced Data, Classifier Ensembles, Performance Measurement, Video-Based Face Recognition, Deep Learning..
Kuldeep Kumar	PhD	Christian Desrosiers	Human brain fingerprinting, Medical Image Analysis, Brain Connectivity.
ALLOGNON Odilon	PhD	Alessandro lameiras-Koerich	Deep learning; Multimodal; Pattern Recognition.
Alexandre Reeberg de Mello	PhD	Alessandro Lameiras Koerich	Incremental multicategory SVM for streaming imbalanced data.
Abdusami Abdurahman	PhD	Patrick Cardinal	Language Identification.
Patrice Boucher	PhD	Patrick Cardinal	Human Stress Modelisation.
Hiba ZAKANE	Ph.D.	Robert Sabourin	Optimizing the dynamic selection systems (Pattern Recognition, Mathematical Optimization, Multiple Classifier Systems).
Karthik Gopinath	Ph.D.	Hervé Lombaert and Christian Desrosiers	Geometric Deep learning and shape analysis for medical image analysis.
Saypraseuth Mounsaveng	Ph.D.	Marco Pedersoli	Clustering methods for weakly supervised image segmentation.
Akhil P M	PhD	Marco Pedersoli, Eric Granger	Object Detection with Weakly-supervised Deep Architectures.
Gnana Praveen R	PhD	Eric Granger and Patrick Cardinal	Weakly Supervised Learning for SpatioTemporal Expression Recognition.
Bach Kim	PhD	Jose Dolz, Christian Desrosiers and Pierre-Marc Jodoin (Univ. of Sherbrooke)	Privacy preserving for continual learning.
Abdur R Fayjie	PhD	Jose Dolz and Ismail Ben Ayed	Few shot semantic segmentation.
Sukesh Adiga	PhD	Jose Dolz and Hervé Lombaert	Geometry of Medical Imaging Data in very Large Datasets.
Steve Tsham Mpinda Ataky	PhD	Alessandro Koerich	A large-scale breast mass analysis and diagnosis based on machine learning and deep-learning techniques.
Jonathan de Matos	PhD	Alessandro Koerich	Multi-View Deep Neural Networks.
Mohammad Esmaeilpour	PhD	Alessandro Koerich	Towards Deep Learning Models Robust to Adversarial Attacks.
Sevegni Odilon Clement Allognon	PhD	Alessandro Koerich	Deep Multimodal Representation Learning from Raw Data.
Voncarlos Marcelo de Araujo	PhD	Alessandro Koerich	Hierarchical Deep Neural Networks.
Sajjad Abdoli	PhD	Alessandro Koerich	Novel Deep Architectures for Audio Processing.
Thiago Paixão	PhD	Alessandro Koerich	Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents.
Rafooneh Jafarian Bahri	MSc	Patrick Cardinal and Eric Granger	Affective Computing using Machine learning.
Jerome Rony	PhD	Ismail Ben Ayed, Jose Dolz and Éric Granger	Weakly-supervised models for breast cancer prediction.
Marzieh Rokooie	MSc	Matthew Toews	Medical Image Visualization.
Francis Charette Migneault	M. Ing.	Éric Granger	Real-Time Face Recognition in Video from a Single Sample Per Person.
Juan David Silva Ortega	MSc	Patrick Cardinal	Fusion methods in Emotion Detection.
Frank Hafner	MSc	Eric Granger	Person Re-Identification between Sensors.
Mohsen Benlazreg	MSc	Matthew Toews	Automatic classification of medical images for computer-assisted diagnosis
Bruce Cyusa Mukama	MSc	Jose Dolz and Ismail Ben Ayed	Curriculum semantic segmentation.
Jauffray Bruneton	MSc	Jose Dolz	Active domain adaptation with quality control segmentation on unlabelled data.
Wissam Salamé	MSc	Jose Dolz and Marco Pedestroli	Efficient search of optimal neural networks.
Tiphaine Diot	MSc	Jose Dolz and Christian Desrosiers	Machine Learning for a system to analyse neurological disorders.
Mounir Mazouari	MSc	Alessandro Koerich	Predictive Model for Train Engine Maintenance.
Karl Ritchie	MSc	Alessandro Koerich	An SVM Algorithm for Distributed Machine Learning.
Mehdi Alloune	MSc	Alessandro Koerich	1D CNN Architectures for Music Emotion Recognition.
Thomas Teixeira	MSc	Alessandro Koerich	Space-Temporal DNNs for Facial Expression Recognition.
Djebril Mekhazni	MSc	Eric Granger	Unsupervised Domain Adaptation for Person Re-identification.