The Ciena Environment for Network Innovation (CENI) is a research project at Ciena which looks in to future computer communications networks with special focus on increased capacity (bandwidth) and control (SDN, or Software Defined Networks). This project operates an international testing network that connects Ciena’s Ottawa research facility to university based network researchers in Chicago, […]

The company wants to develop a state of art recommendation system for the clients. A recommendation system is a piece of software that provides products’ suggestions to customers on a website. For example the products suggestions that can be seen on Amazon’s web page are generated by its recommendation engine. The typical recommendation engines work […]

Lorsqu’une entreprise investit de larges sommes d’argent dans une technologie, elle espère en tirer des bénéfices : diminution de ses coûts d’opérations, amélioration de la relation client, amélioration de la qualité des produits, etc. Ces faits sont mesurés à l’aide d’indicateurs de performance. Chaque entreprise est libre de choisir les indicateurs qu’elle souhaite suivre, mais […]

In this project, the intern will design a decision support framework for optimizing tube utilization in laboratory tests. Given a prescription, the framework automates the tube selection process and outputs low cost tube configurations. The framework is designed to be easily adapted to different lab configurations. It consists of three processes, namely data profile configuration, […]

Kobo is an online e-book retailer that provides recommendations for future purchases to its user base. One difficulty that recommendation systems face is what is known as the “cold-user” problem. In this scenario, when we know so little of a user’s preferences (for example, if they are new to the platform), we do not have […]

The project aims to translate developments in ultra-sensitive MRI sensors to a clinically-relevant setting. To create high-sensitivity sensors for better images, we aim to create a tight-fitting system which places the sensors—akin to antennas—closer to the brain. This will improve the quality of the signals that we can extract from the brain, and allow us […]

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La première partie de ce projet est d’évaluer la télédétection par laser ou LIDAR (« light detection and ranging ») en tant qu’outil pour cartographier les routes. La deuxième partie consiste à transposer les données acquises lors de la cartographie dans une interface graphique, telle que Google Earth, par exemple. À l’heure actuelle, les informations […]

Medtronic is a global leader in medical technology and biomedical engineering, working towards non-contact vital signs detection. This technology would be especially helpful in the case of high-risk or premature newborns. Continuous or at least frequent monitoring of newborns outside of clinical environments improves quality of life for parents and newborns recently discharged from the […]

Medtronic is a global leader in medical technology and biomedical engineering, working towards non-contact vital signs detection. This technology would be especially helpful in the case of high-risk or premature newborns. Continuous or at least frequent monitoring of newborns outside of clinical environments improves quality of life for parents and newborns recently discharged from the […]

The aim of this project is to research and develop a new DICOM modality for the optical coherence tomography images obtained by Perimeter’s Optical Tissue Imaging (OTISTM) device. Following the creation of a suitable modality, a novel solution for transfer to and integration with the PACS servers utilized by current Perimeter customers will also be […]

In automatic casting applications, the aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. In particular, this project will focus on challenging tasks of capturing and modeling the facial trajectory for each person appearing in a movie in order to predict when/where the […]