Federated Learning on Sensitive Mobile Data (Python/Java)

At Lerna IA, we are building a private federated learning platform for mobile applications. Our technology allows mobile-first companies to learn about their app users without violating their privacy. Our novel security architecture speeds up the federated learning process by at least 50x, rendering it practical for real-world mobile set-ups by running the whole ML […]

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Improving Cognitive and Collaborative Support for Security Threat Hunters

Threat hunters play a critical role in ensuring the security of Canadian corporate and government agency systems. Threat hunters monitor how data, systems, and networks are accessed to be aware of possible threats that may occur before systems or data sources are compromised. Working in teams, threat hunters generate hypotheses and proactively analyze massive amounts […]

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Multi-sensor fusion for continuous vitals monitoring, sleep characterization and fall detection

The proposed research project focuses on multi-sensor such as heart rate, body temperature, oxygen saturation level, and inertial sensor data-based sleep stage classification, and tremor detection in real-time for preventive health devices. The goal of the proposed research is to build robust and energy-efficient machine learning and deep learning-based approaches that extract and analyze the […]

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Nestabl Streaming Innovation Project

Nestabl Inc., based in Oakville, ON, is developing an innovative new streaming network dedicated to Home, with a focus on bringing together user generated content, and produced/curated video content in a dynamic, personalized way. Nestabl’s Platform development will be completed in two phase, requiring four interns over a span of two terms total. During phase […]

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Implementation of an Emotional Imaging Composer

The Emotional Imaging Composer is a system that translates bio-signals into responsive environments in real-time. The sensors capture emotional profiles, reading physiological signals to effectively map a person’s emotional state. These signals are then processed to generate a fluid collage of aural and visual images which, when projected into an environment created to receive them, […]

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Développement d’une méthodologie de récolte systématique des don- nées utiles à l’entrepreneur culturel pour favoriser le partage de données et faciliter la rédaction de demandes de subvention

En partenariat avec Synapse C, ce projet vise le développement d’une communauté de mutualisation de données du secteur culturel pour favoriser une co-opétition saine et l’accessibilité à des données utiles et porteuses de sens pour l’entrepreneur- artiste. En s’appuyant sur la littérature portant le partage de données en innovation ouverte, l’entrepreneuriat culturel et la mesure […]

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Web Developer

Prima Technologies is a startup in New Brunswick, Canada that is working on improving certain processes in nursing homes, replacing traditional paper processes with new digital ones. The main challenges and opportunities are in software development. Nurses provide a lot of care in a day and building a tool for them that relieves their workload […]

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Quantum data and machine learning for quantum chemistry

In this project, the university and industry researchers will work together to examine ways in which two new, powerful computing technologies, machine learning, and quantum computing, can be combined in order to improve our ability to understand and simulate molecules, chemistry and materials. One of the key challenges that limits improvements to today’s chemical simulation […]

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Business development for the launch of Emotional Imaging

Emotional Imaging, Incorporated, is preparing for the launch of their flagship product. The intern will lead business development with the aim of building a viable startup that will deliver accessible value. This will include but is not limited to: user research, market analysis, and business modelling – all which will guide the team in realizing […]

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Isolation and predictability of embeddable Neural Networks for Onboard Spacecraft

Debris removal is crucial for the future of low earth orbit operations as the exploitation of this orbit grows. A significant increase of debris will accompany these new constellations. Estimating the relative position and orientation (commonly called Pose estimation) of a known but uncooperative space-craft from a monocular image is an essential computer vision application […]

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