Conception d’une application mobile de terrain novatrice supportant l’inventaire archéologique

Le projet vise à développer et concevoir un prototype de solution géomatique mobile de terrain venant appuyer les archéologues dans le cadre de sorties de terrain d’inventaire et de prospection. L’objectif est de pouvoir répondre, avec la solution proposée, aux différents besoins qui sont exprimés tant par la communauté scientifique que professionnelle, ainsi qu’aux exigences […]

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Enhancing service quality in community health care through preference-based scheduling

In this project, the intern will develop an integrated patients and care givers scheduling system for the allocation of health care resources in community health care. This system provides patients with an online preference collecting interface for them to express their preferences on time, location, and care givers when estimating their service costs and booking […]

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Development of Cost-Effective Solutions for Energy Management in Smart Buildings

This project aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis is put on consumer side energy management strategies that able to balance energy demand and supply […]

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Integration of INTERCONNECT and Cadence with an emphasis on co-simulation of CMOS drivers and optical ring modulators

The idea of using light for transferring data has been developed rapidly since 1960s. Today, using light for short-distance communication, as an alternative for copper wires, is rapidly growing mostly because of its broadband communication characteristics. Optical communication systems consist of both electronic and photonic components. Designing such systems will benefit from an Integrated Development […]

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La qualité des données de risque dans le cadre des directives de Bâle

Le projet de recherche qui sera entrepris consiste principalement à mettre sur pied une méthode qui permettra au Mouvement Desjardins de prioriser la résolution des problèmes de qualité de certaines données de risque. En effet, une donnée est jugée de mauvaise qualité si, par exemple, elle n’est pas disponible dans un délai prédéterminé. Étant donné […]

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Mining of population-based routinely collected health data to determine risk factors associated with pediatric morbidity in Ontario, Canada

ICES is a non-profit organization tasked with housing and conducting research of Ontario’s health administrative data. Data is available on all legal residents of Ontario, Canada most populous province. In addition, these health administrative data are being supplemented with data from other sources, such as maternal and newborn clinical data, newborn screening data, and immigration […]

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Improvements for Dione: An Integrated Software Analytics Solution

Solutions proposed by software engineering researchers are not usually used by practitioners due to the lack of tool support. The research software Dione was developed as a solution to this problem. Dione is a platform agnostic integrated software analytics solution to tackle this problem. We have implemented prediction models for effort estimation and defect prediction […]

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Routing and Spectral Assignment in Mesh Optical Networks

The project consists in the design, development and testing of algorithms that can solve the routing and wavelength assignment problem in optical networks, for data instances with up to 100 wavelengths and few hundred nodes. Indeed, for each demand between a source and destination, it consists in determining a route, and assigning it a wavelength […]

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Evaluation of an mHealth App: A Randomized Controlled Trial of ‘DeStressify’ on Campus Staff and Student Mental Health

Development and use of mobile technologies, in particular mHealth applications, to improve health have exponentially increased in the past decade. Despite the widespread use of ‘apps’, there has been astonishingly few scientific evaluations on the efficacy of such products to improve or change health behaviours. The purpose of this research is to systematically evaluate, through […]

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Improving Models for User-Specific State Assessment: A Real-time Querying and Learning Technique

Advances in wearable physiological sensors can now potentially provide critical information about human functional states in real-time, in order to support performance, learning, and safety in various work, training and leisure-related contexts. It has been observed that models trained for human state prediction in laboratory suffer from drastic performance loss when deployed on subjects unseen […]

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Process Modeling for Ge-on-Si Photodetectors

High-performance Ge-on-Si photodetectors are of lower cost and can be monolithically integrated with Si based integrated circuits for on-chip optical communications to increase computing speed. Process modeling is essential for structure and processing conditions design, but the current photonic design tools are too simplified for this task. This research is to implement process models in […]

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Rich Recommendations

Item-to-item and user-to-item recommendations are prevalent on most ecommerce websites and digital content related mobile applications. At Kobo, we strive to constantly improve our recommendation system, which is based on co-purchase patterns on Kobo’s website or through Kobo eReaders and mobile apps. This internship is to explore improving the system along several dimensions: incorporating additional […]

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