Exploring and modeling human cognition through deep learning

Some of us recall our dreams very often, while other hardly ever remember them. The neuroscience of sleep and dream research is a thriving field with still many unanswered questions. Differences in brain network dynamics between individuals with high versus low dream recall rates, are still poorly understood. In this internship, we will address this […]

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Using document embedding for code completion

Dans les recherches récentes en génie logiciel et plus particulièrement en compréhension du logiciel, une grande partie des approches utilisent des techniques issues de la communauté du traitement automatique des langues naturelles. L’utilisation de ces techniques de traitement des langues au logiciel s’est avérée être efficace pour capturer des informations textuelles et sémantiques dans des […]

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Vibration Analysis: Fault detection, classification, prediction

Vibration analysis is probably the most widely used technique to perform health monitoring of mechanical machinery. Specifically, we are interested in monitoring ‘Vibrating screens’, machines that are for example used by the mining industry to sort aggregate by size. Over the last 10 years the research group of Dr. v. Mohrenschildt has developed hardware, software […]

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Tensor based machine learning with human computer interaction applications

In this research, first we will using tensor network techniques speedup the processing in neural network since computational cost is a major bottleneck in neural network based deep learning. Note that the weight matrix in each layer of neural network is with huge size, because of millions of parameters. This may cause large time complexity […]

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Le Design Thinking comme approche à l’innovation en médiation muséale.

À l’heure actuelle, les musées se voient contrés à innover avec dans leurs pratiques de médiation avec les technologies numérique. Dans cet élan pour concevoir des alternatives adéquates en lien avec les publics et les objectifs de chacune de ces institutions, des laboratoires d’incubation de projets en médiation numérique destinés à accueillir des initiatives muséales […]

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Robot-Assisted Breast Cancer Surgery

Breast cancer affects 1 in 8 women during their lives and is the second-leading cause of female cancer related deaths. The ideal treatment is breast-conservation surgery during its early stage to remove the cancer while conserving healthy parts of the breast. With current resection methods, on average, one out of every three women undergoing breast-conservation […]

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Développement d’un système de microplaque chauffante à induction

Dans le domaine de la spectroscopie infrarouge, nous utilisons des sources infrarouges à large bande afin d’illuminer les échantillons observés. La méthode traditionnelle est d’utiliser des éléments chauffants avec une bonne émissivité à haute température, environ 1,000 °C. Actuellement, les défis majeurs pour la conception de source de lumière infrarouge sont i) la grande consommation […]

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Hardware Aware Acceleration For Deep Neural Networks

The result of this project (which will be demonstrated by a use case) can make health equipments to be used outside of hospitals. This is achieved by reducing the computation cost of running Deep Learning models by 3rd party tools and use our accelerator solution to run the size reduced and optimized model. This greatly […]

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Remote Life Signs and Self-Harming Behaviors Monitoring System

Suicide is one of the most important causes of deaths in the prison environment, both in Canada and internationally. Rates of attempts of suicide and self-harm have been on the rise in recent years. To address this problem, there is a real and immediate need for an automated, private, and effective monitoring system that can […]

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Hierarchical graph kernels for classification of molecules

The central problem of pharmaceutical research is to understand the effect of a certain molecule on human or animal biology. Many machine learning models have been developed in recent years and show great efficiency and accuracy for this kind of predictions. However, a problem common to many of the best algorithms is that they require […]

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Application de méthode de word embedding à l’auto-complétion de diagramme UML

Cette recherche porte sur un sujet appartenant au domaine de l’ingénierie des logiciels et utilisera des techniques du domaine du machine learning. Je travaillerai sur la création des diagrammes de structures dans le langage UML qui est un diagramme représentant la structure interne de classes et les relations entre elles. Le but de cette recherche […]

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