Implementation of a cloud-native version of Rho – a Health Canada approved software-as-a-medical device (SaMD) that opportunistically screens patients for osteopenia and osteoporosis

16 Bit Inc is a Toronto-based medical imaging AI startup that develops software-as-a-medical device (SaMD) to improve healthcare. They have a product, Rho, which is Health Canada approved for screening patients for osteopenia and osteoporosis using routinely acquired x-rays in patients over the age of 50 years. The goal of this internship is to migrate […]

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Digital Programming Assistant

We are looking at developing a more interactive review/test methods for students rather than just our current true and false questions. We also want to ensure cross compatibility to ensure that the app for the review and testing works on all operating systems on phones when taking our courses online (most of our participants use […]

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Strong Asset Discovery on Naval Vessels using Machine Learning

Lockheed Martin Canada is undertaking the creation of a network detection solution for maritime platforms that addresses the specific security issues in the naval environment. The solution is a combination of multiple technologies utilizing different active and passive techniques to enhance the detection process. Lockheed Martin Canada has created a preliminary prototype design and is […]

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From meal planning to grocery shopping cart; a smart software platform combining personalized recommendations, grocery shopping, and healthy-eating-behavior building

Families need help with their weekly food needs due to busy schedules, stressful weekly meal planning and rising food costs. This research project aims at combining recipes, nutrition, family profiles and preferences, and grocery shopping to recommend healthy and varied meal plans to families. These meal plans will be the base to build grocery shopping […]

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Proxemics-Aware Agents for Everyday Activities

Artificial Intelligence (AI) is becoming more and more ubiquitous with each passing day. Our goal in this project is to enhance human-AI interaction by exploring ways in which proxemics can help drive and support the interaction. We want to create more intuitive and user friendly agents that are aware of one’s context and proxemics in […]

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Understanding cybersecurity data and analysis models with intelligent visualization

Cybersecurity incidents such as data breaches have become more critical and costly than ever, as we are generating, processing, and relying on more digital information every day. To quickly identify potential security attacks and prevent them in a sea of system activities, machine learning (ML) has been applied to support security analysts’ decisions. However, the […]

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Visualization in motion for wearable and mobile devices

the motion relationship between viewers and visualizations can affect readability and usability of data in various application contexts. Our previous research (10.1109/TVCG.2022.3184993) showed that motion factors such as moving speed and movement trajectory impact reading accuracy. Nevertheless, we still do not know how visualizations should be designed in real scenarios such as when both viewers […]

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QA-Enhanced MLOps pipelines for robust and adaptive ML-intensive industrial systems

Sycodal is a Canadian company that empowers local small and medium-sized enterprises (SMEs) with cutting-edge digital solutions to overcome human resource shortages and adapt to market fluctuations. It is a member of the NVIDIA Inception program and uses NVIDIA’s technology to add machine learning (ML) and reinforcement learning (RL) capabilities to its automation systems. These […]

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Autonomous surgical phase recognition on endoscopic camera images

At large, the desire of the Mitacs Research Grant is to gain understanding of surgery as a new field of science, dubbed Surgical Data Science (SDS), and to provide computer knowledge compatible robot system development through ontology driven Surgical Process Modeling (SPM) and Deep Learning (DL) methods, which can lead to autonomous surgical phase detection-based […]

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BSI-SMU – Chef and customer onboarding optimization

Easy Platter is looking to scale nationally. For which, we need to meet 2 primary objectives: 1) Build a chef onboarding platform that enables chefs across Canada to sign up 2) Optimize the customer journey by creating stickiness on the platform This project is key for Easy Platter as we move from a NS based […]

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