Accelerating Phase Unwrapping

The project aims at enhancing performance and efficiency in InSAR (Interferometric Synthetic Aperture Radar) systems. Such systems are used to measure displacement or deformation of any object on earth. Both environmental and industrial studies can benefit from projects like this, as it will help them make decisions based on a more realistic view of current […]

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Efficient Computations on Encrypted Data Stored in the Cloud

Systems today often handle massive amount of data with little regard to privacy or security issues that may arise. This problem has become more acute as more and more individuals and organizations are using cloud-based data storage. Encryption techniques has often provided a key role in protecting sensitive information, however many challenges remain in using […]

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Localisation et reconnaissance de véhicules routiers à partir d’images 2D

Le but de ce projet est de développer des algorithmes intelligents capables de reconnaître et de localiser en temps réel des véhicules filmés par des caméras de surveillance positionnées le long d’axes routiers. Alors que la plupart des méthodes issues de l’état de l’art utilisent de l’information vidéo pour détecter et reconnaître des véhicules, notre […]

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Investigation on object recognition on very large volumes of image data

Istuary Innovation Labs, Inc partners with innovators, entrepreneurs, technical talent and experts in North America to build technology companies for fast-growing markets, such as China, and to capitalize on quickly expanding and unmet demand. Founded in 2013, Istuary’s core business consists of Innovation Labs and Idea Labs. We partner with Istuary Venture Capital to fund […]

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Application des algorithmes intelligents pour la classification des flux de données (RSS, Alertes Gmail) : Une étude de cas de l’autisme

L’exploration de données est le processus d’acquérir des modèles, des connaissances et des informations à partir d’un ensemble de données et les transformer en une structure compréhensible et explicable pour une utilisation à l’avance. Dans notre application, un algorithme intelligent nous aide á gagner du temps et bien s’assurer de la concordance de l’article au […]

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Product Recommendation and Decision Making Tool

Tools and interactions that reduce the confusion of the online shopper and help her with decision making are very important for improving the shopping experience. Optemo provides a suite of intelligent e-commerce solutions for retailers, with the goal of creating an enjoyable user experience and increasing the conversion rate and customer satisfaction of retailers. The […]

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Learning Depth from Transmissive Diffraction Mask based Sensor

Most cameras today, take photographs by measuring the amount of light in a scene. This means that they discard any information about the directionality of light, which results in a two-dimensional representation of the three-dimensional scene. We have developed a new type of camera that can detect the direction of light as well as image […]

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Semantic question-answering systems for customer service automation

Recent advances in applications of deep learning in natural language processing has provided potential opportunities in building robust information retrieval and conversational models that require far less hand-crafted features for understanding the intent of queries and ultimately building question-answering systems. In particular, there has been several advances in factoid question-answering systems and some recent attempts […]

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Design and Implementation of a Framework for Performance Management in Service Oriented Virtual Organizations (SOVO PM)

In this research, we propose a framework for performance management in virtual organizations (VOs) equipped with service oriented architecture (SOA). This framework enables networks of organizations to evaluate and manage their collaboration performance and also to align and coordinate their various goals and objectives. Distributed management of VO will be enhanced to reduce the necessity […]

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A New Framework for Method-Level Dynamic Software Updating

Dynamic Software Updating (DSU) is a necessity in the operation of a large computing infrastructure that must deliver high availability. An issue very relevant to the industry is that legacy applications running in data centers were often designed and constructed without due consideration for the need of partial upgrades in the future. The goal of […]

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New consensus ranking heuristics to rank big biological data

Ranking biological data is a difficult task for various reasons. Hence several ranking methods have been proposed, but none of them has been deployed on systems currently used by the scientific community. This is why a good solution is, given a set of rankings, to find a consensus ranking that reflect their common points while […]

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Junior hockey competence analytics

Analytics is about awareness of the states of knowledge of users. Users can become aware of their owns states of knowledge at different levels. Analytics measures such levels of each user, and engages them in taking initiatives to hop from one knowledge state to the next. The hops happen mostly gradually, depending on the capacity […]

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