Junior Software Developer (DevOps Project)

Binary Stream Software is Microsoft Gold Certified ISV. We work with Microsoft ERP solutions on three platforms, Great Plains, Dynamics 365 Business Central, and Dynamics 365 Finance & Operations. Microsoft is evolving ERP and adding a lot more tools and technologies to help with ERP workflow and reporting. The new technologies such as power platform, […]

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Generative FlowNets for Material Physics Discovery

In many real world problems, the design process involves iterative steps with generation of candidates and evaluation of these generated candidates to evaluate their utility for the relevant task. This evaluation can be done with say expensive wet lab experiments or some computational oracles. We might want to make the best use of both of […]

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Reinforcement-GAN for Network Intrusion Detection

Network intrusion detection systems play a crucial role in computer networks defense. However, most of the existing solutions do not take into account the time-evolving component of the attacks. Attackers are constantly changing the intrusion methods which becomes a serious threat and requires the development of adaptive methods that can cope with these modifications. Moreover, […]

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Using design thinking to Improve operational efficiency of a consumer health-tech product so it can scale and help Canadians avoid chronic disease

Molecular You is a health-tech start-up on a mission to help people live longer, healthier lives. Using a new type of blood test, we’re able to give people unparalleled insight into their health and make precise diet, exercise and supplement recommendations to help them live longer healthier lives. The product consists of a mobile application […]

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Is this natural language?

The partner provides software that uses natural language processing techniques to store and analyze documents of different firms. This includes their widely used smart document storage software. The techniques suffer performance when they use text that is not written in well-formed “natural language”, such as tables and labels. The intern will be designing and implementing […]

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Anomaly detection from system logs through deep learning

During the last decade, we observe in organizations a surge of numbers of cyber-attacks originating internally. In this project, we aim to develop deep learning models to detect suspicious activity (such as malicious events, system failure or attacks) from log data generated by the Desjardins ecosystem.

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Digital Twin for Civil Engineering Design Workflow

McElhanney provides Engineering and Surveying services across Canada. They want to leverage the AI feature extraction work conducted in 2021 – 22 (Mitacs Accelerate IT23104) whereby the University of Alberta interns helped to extract physical municipal assets (fire hydrants, street lights, manholes, curbs, etc.) from detailed terrestrial laser scanning (TLS) data, i.e., LiDAR point-clouds. This […]

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Lab2Market West: Advancing echocardiography scanning through multiview fusion using robotics and machine learning

Echocardiography is widely used for scanning cardiac patients to assess the health of their hearts. Despite its wide use, echocardiography suffers from a few limitations, including the limited field-of-view and longer scanning times. We propose a product using a collaborative robot arm to overcome these limitations. Our project allows scanning the heart from different locations […]

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AI-enabled food waste differentiation for at-home compost nutrients estimation

The main goal of this project is to digitalize food waste at home for a sustainable future using at-home composters. We will develop dedicated machine learning algorithms to detect, segment, and classify various food waste generated in the kitchen, making it possible for everyone to immediately estimate the quality and nutrients of the generated compost […]

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