Salon S.O.S

The chosen candidate will have 2 main mandates: 1) create an innovative business development strategy to reach the food and beverage industry. We have a unique app that can help those industries reinvent themselves and improve customer engagement and retention. We need a creative way to penetrate this market to gain awareness and deliver real […]

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Understanding market trends to support product innovation in the cannabis industry

In this project the intern will Analyze Canadian competitors across provinces using various tools/frameworks. The intern will Review the illicit market and present recommendations on opportunities. The intern will review and analyze Auxly’s existing social listening tools (ie Meltwater) as well as develop and leverage additional online research tools (ie Web scraping). He will also […]

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Understanding the Lifecycle of Software Innovation in Asia: Partnership Opportunities for Canadian Companies and Researchers

This proposal aims to understand the environment and lifecycle of digital technology development in Asia. Through this internship, with the collaboration of the academic supervisor and the Cansbridge Fellowship, the student will aim to write a review paper that examines the environment and lifecycle of digital tech developments in Asia, and will explore avenues to […]

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Corn root growth and rhizosphere bacterial taxa from the biological promoter Humic Land under field conditions

Humic Land is a 100% organic fertilizer that was produced from black peat using innovative technology that protects live soil microorganisms. It contains complex organic compounds known as humic substances and a microbial consortia that can biologically promote the growth of field crops. When Humic Land is applied to corn in a nitrogen-limited environment, the […]

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Predictive Maintenance Platform Development for UAVs

This project aims to develop a solution for the predictive maintenance of UAVs which will mitigate the burden and risks associated with the traditional reactive and preventive maintenance. By identifying the critical data related to the failures and monitoring/modeling the behaviors of the components based on data/signals during and after the flight, this research will […]

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Visual tools for the STS sensor

This project will develop computer vision based tools for application to the see through sensor, a new sensor developed at SAIC Montreal, which has the unique capability of acquiring both tactile (touch) and visual information, while in interaction with objects. These tools will allow for new sensing capabilities to be deployed including contact categorization, slip […]

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Improving the clinical oculomotor assessment for patients with multiple sclerosis

Clinicians’ ability to detect abnormal eye-movements has powerful implications for the diagnosis, monitoring of disease progression and evaluation of therapeutic outcomes in patients with multiple sclerosis. Despite the advantages of the oculomotor assessment, standard clinical practices are limited and do not capture the dynamic aspects of eye-movement. Sophisticated methods have been developed in the laboratory […]

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Climate change design adaptation for the next generation of Canada’s masonry systems

In 2018, the results of a Climate Change Adaptation Standards Inventory Analysis conducted by CSA indicated cavity-wall design as requiring urgent climate change adaptation provisions. Distress in cavity-walls is often attributed to excessive differential movements governed by the drying shrinkage of inner loadbearing concrete masonry members, projected to increase with climate change, producing cracks in […]

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Automated technical knowledge curation using machine learning

With the growth of the Internet, the amount of scientific data and information available to research teams has been increasing exponentially in the past two decades, which results in significant information overload. Approaches for manual knowledge extraction and curation does not scale up in practice. The main objective of the project is to create an […]

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Implementation of Photonic AI accelerator system

Al applications require massive computing resources that consume immense energy. Al compute is expected to account for a significant percentage of the global power consumption. As current digital Al chips cannot keep up with demand, more energy-efficient Al chips are required. This project addresses major milestones toward implementing an energy-efficient photonic Al accelerator system. A […]

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Risk-based evaluation and optimization of friction devices for seismic retrofits of non-ductile building structures in Canada

Canada’s early-designed public buildings (i.e., schools and hospitals) are at significant risk of seismic damage and collapse. The installation of seismic protective devices, such as friction devices designed and manufactured by Quaketek Inc, offers a viable strategy to mitigate the seismic risk of building structures. However, the practical use of friction devices has commonly relied […]

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Using high-throughput mapping techniques to reveal mechanisms of vocal learning

Understanding how humans and non-human animals communicate with each other continues to be a central question in neuroscience. Songbirds serve as powerful animal models for this endeavor because they learn their vocalizations (“songs”) in a manner that resembles how humans learn to speak and because vocal learning in songbirds is regulated by discrete brain circuits […]

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