Using Big Data to Chart Workplace Learning during COVID-19

In light of disruptions caused by COVID-19, companies employing frontline workers must balance health and safety with maintaining productivity to survive and thrive in an unpredictable economic climate. This picture is complicated by the need for rapid learning in new, redeployed, and longstanding employees. How is workplace learning impacted by the COVID-19 pandemic and how […]

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Tuktu – Peer to Peer Elderly Caregiving platform

As the world gets smaller, the distance between families grows larger. An increasing number of people are living far away from their loved ones, either in another city or in a different country altogether. Many leave behind their parents and other elderly relatives, with the distance making it next to impossible to provide support for […]

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Therapeutic Properties in Landscape Design

This research project aims to review, analyze and build upon the current body of knowledge concerning the therapeutic potential of landscape design. It will review the health outcomes of natural settings at healthcare facilities and examine the design processes behind these. Project partner Virginia Burt Designs is a leading practitioner in this aspect of the […]

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Estimating Apple Crop Yield using Images

As a high-value crop, apples are intensively managed with much of this management being associated with yield estimates. Currently, estimates are done manually by experience farmers and by Scotian Gold experts. Unfortunately, this results in costly estimates that vary in their quality from farm to farm and between apple varieties. A system that can provide […]

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Polyamide-Based Triboelectric Nanogenerator for High Performance Energy Harvesting & Self Powered Sensing Applications

Fast development of more powerful and smaller mobile electronics suggested the need for development of sustainable energy resources as well as innovative sensor systems with improved accuracy and reduced power consumption. Moreover, utilizing appropriate sustainable energy resources would be beneficial for environmental protection. Such demands resulted in a great interest toward development of the triboelectric […]

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Improving protein-ligand binding models using multidimensional, mixed-confidence training data – Part 2

There currently are no approved treatments for COVID-19, as global case counts increase daily. High infectivity and long time-to-recovery for COVID-19 cases is straining health-care systems globally. There is an urgent need to discover therapeutics that treat patients and improve clinical outcomes. Research and Development timelines associated with vaccines and new chemical entities will not […]

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Privacy-preserving Federated Learning Algorithms and Dashboarding to enable COVID-19 health analysis

This research project will enable Krate Distributed Information Systems Inc. (Krate) to provide two software as a service (SaaS) cloud products that will integrate with the distributed computer platform of fellow startup Distributed Compute Labs (DCL) to aid COVID-19 researchers. DCL’s distributed computer is in use by scientists and researchers across Canada (this company’s product […]

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Développer une nouvelle génération d’agent cognitif avec raisonnement intégré : un pas vers l’identification des facteurs causaux de la COVID-19.

Bien que des systèmes de monitoring des patients existent déjà, leur accessibilité est souvent limitée en milieu hospitalier, réservé aux soins aigus. De plus, ils sont de nature particulièrement encombrante de par le nombre d’électrodes, capteurs et fils qui les compose. Un système de monitoring (‘wearables’) plus léger, plus accessible, et pas cher intégré aux […]

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R&D of Cannabis extraction and purification technologies

The intern will work with the company PBE Expert on the field; she will gain technical experience on the cannabis industry. Specifically, she will research and work on cannabis extraction and purification techniques. She will research problems and issues faced by cannabis producers in regards to the extraction and purification techniques. In the lab, she […]

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Real-time context-aware recommender systems

Proposed Research: Existing recommender systems, even though very effective (like Amazon, Netflix, Youtube etc) do not take into consideration any contextual information, such as time and place. In recent times, context-aware recommender systems have attracted a lot of research and industrial attention. In this project, we aim to address the unsolved challenges that comes with […]

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