Few-shot Generative Adversarial Networks

The most successful computer vision approaches are based on deep learning architectures, which typically require a large amount of labeled data. This can be impractical or expensive to acquire. Therefore, few-shot learning techniques were proposed to learn new concepts with just one or few annotated examples. However, unsupervised methods such as generative adversarial networks (GANs) […]

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Reporting Automation Platform (RAP)

The overarching objective of this research project is to design, develop, and test, a reporting automation platform that is able to gather data (in the form of metrics, graphs, tables) from several security software and 3rd party tools, aggregate the data if needed, generate metrics, build reports and upload them to another tool with a […]

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Secure Business Transformation and Enablement Services

Cloud, which is no longer a future trend, has led to a paradigm shift in the design of security services. With so many dynamic features offered by cloud service providers, the assessment of potential threats, cloud vulnerabilities and software security concerns can help in securing cloud customers from inside and outside threat. In this research, […]

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Advantages of Automation of Communication between Security Platforms

In the technology sector, there are so many different computing systems that they need a way to communicate with each other. When different technologies can share information and work together to solve tasks, the benefits of computing are amplified. For example, smart home devices are much more convenient when they all communicate with one platform […]

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Continuum, amener de l’hôpital vers la communauté les meilleurs standards de soin.

Jusqu’à 40% des patients hospitalisés pour évènement cardio-vasculaire majeur (infarctus du myocarde, insuffisance cardiaque, chirurgie cardiaque) sont diabétiques. Au décours de cet épisode de soins, de nouveaux objectifs de traitement et de prévention cardio-vasculaire sont fixés généralement au patient en accord avec les recommandations canadiennes en cardiologie et en diabète. Ces objectifs sont malheureusement rarement […]

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WiFi-based Driving Activity Recognition in Vehicles

With the increasing requirements for smart vehicles in recent years, driving activity recognition in vehicles becomes a promising direction given its unique advantages in safe driving and human-car interaction. It can not only alert the driver when there exist distracted driving behaviors but also enable novel human-car interactions with gesture-based control. Most state-of-the-art systems use […]

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Uplink Resource Allocation in Wireless Backhaul Networks

The internship project involves performance improvement in current cellular networks through wireless backhaul interference mitigation. In particular, the problem of RBM to hub assignment and resource allocation amongst the hubs are tackled in the uplink transmission of wireless backhaul networks. The intern is expected to investigate current developed algorithm at BLiNQ Wireless Inc. as well […]

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Accelerating database storage engines using Processing In Memory

A notorious phenomenon limiting general-purpose computing today is memory wall. Memory – the hardware used to store the data- is located relatively far from the central processing unit (CPU), so applications spend a lot of time waiting on data to travel from memory to the CPU. New memory hardware, such as the one addressed in […]

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Analysis, design, and implementation of a recommendation engine to suggest charities

The goal of this research is to investigate and build a recommendation system that suggests charities to users based on their previous donations. One of the first successful recommendation systems was Amazon’s “Customers who bought this, also bought…”. This recommendation system focuses mainly on making it easier for users to find relevant information and increasing […]

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Geographic Risk Visualization for Unmanned Traffic Management

Risk evaluation is a crucial aspect of Unmanned Traffic Management (UTM) systems. Risk is calculated for missions involving unmanned systems and includes numerous factors from both ground and air risks. Currently, the risk evaluation and calculation for a mission is done by hand and based on estimations. Furthermore, the final calculated risk for a mission […]

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Support cases resolution retrieval

Coveo provides search and recommendation software for customer support systems in which customers can ask for help by entering a case description and, on the other side, support agents must find the solution. In this context, queries to Coveo are in the form of long texts describing a problem and potential solutions are knowledge articles […]

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Relevance of security intelligence data for cyber insurance risk quantification

Cyber insurance is a relatively new and growing insurance product that provides companies with compensation following cybersecurity incidents involving data breaches, business interruption, digital asset loss and/or cyber extortion. The ever-changing nature of cyber technology combined with the lack of a large history of cyber insurance claims makes it challenging for insurance companies to rapidly […]

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