Intelligent Cyber-Physical Situational Awareness for Smart Infrastructures

The availability of big data in smart infrastructures have become a strategical asset for operators to understand the situation of the infrastructure and monitor potential threats. However, most of the data still have not circulated beyond traditional corporation and technological boundaries, which have limited the visibility that could have been provided by the abundant data. […]

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Preliminary Fall Detection/Prediction Data Science Project

Fall detection systems, are targeted to older adults living alone to identify fall events and mitigate prolonged wait times to treat injuries typically. These systems use a wearable, such as a Ffitbit or Apple watch, paired with an algorithm to detect falls and alert caregivers or emergency services. However, large variability in type and circumstances […]

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Learning non-local features for 3D reconstruction of buildings

The goal of this project is to help automate the process of scanning buildings with consumer digital cameras. Currently, fully automated scanning with a commercial camera produces inaccurate scans, while accurate scans require significant manual effort on each individual photograph (of which there are many) of the building to be scanned. We plan to use […]

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Machine Learning to Predict Temporomandibular Disorders Risk from Genotypes

The goal of this project is to develop new machine learning methods and computational strategies to mega-analyze data from well-characterized datasets on chronic pain conditions to develop a genetic predictive tool. This tool will be implemented in an online interactive dashboard and used by the Quebec Pain Research Network (QPRN) community. This collaboration with Plotly […]

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OFDM radio receiver with Deep Learning

This project involves research in applied artificial intelligence in the field of communications. Using AI, complex building blocks in communication systems are to be simplified and designed in a highly cost-effective manner. The use of AI will allow communications systems become more cognitive in nature and give access to affordable software defined radios. This program […]

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Understanding the contribution of ??-tetrahydrocanabinol and cannabidiol isomers and related compounds to the therapeutic effects and safety of cannabinoids using zebrafish larvae

Most of the medicines available today are either purified from plants or derived from compounds produced by plants. The Cannabis (marijuana) plant in particular produces an enormous variety of molecules that have valuable pharmaceutical potential – in addition to tetrahydrocannabinol (THC), which is the primary psychoactive molecule in the pant, the cannabis plant produces dozens […]

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Microbial detection of hydrocarbon seeps offshore Nova Scotia

Offshore petroleum exploration requires a multitude of techniques to identify a petroleum system in an offshore area. Novel microbiology technologies which focus on the distribution of marine microbes (microbial biogeography) have been proposed as complementary tools to conventional techniques for oil and gas exploration. Hydrocarbon seepage from subsurface petroleum reservoirs is hypothesized to explain the […]

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An in vitro Platform of Antigen-Presenting Cells to Evaluate Critical Quality Attributes in Vaccine Formulations

Sanofi-Pasteur is developing new vaccine formulations that need to be evaluated on their efficacy and potency. Traditionally, the use of animal models to predict human immunity has been accepted as the best way to select vaccine formulations. However, animal models can be costly and time-prohibitive, and the assays employed to assess vaccine efficacy and potency […]

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Field testing of selected salt tolerant screened balsam poplar (Populus balsamifera) clones for use in reclamation around end-pit lakes associated with bitumen extraction in northern Alberta.

The fundamental challenge when reclaiming oil sands areas is to ensure not only survival, but vigorous growth of the plant material. Finding plants suitable for high salt conditions has offered the opportunity for Alberta-Pacific Forest Industries Inc. to investigate the potential role of using native balsam poplar (Populus balsamifera) as a key reclamation species for […]

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Implementation of the Engagement Score of Libro Credit Union’s Owners

Libro Credit Union wants to improve the Owners’ (customers) financial experience engaging them actively through the institution’s initiatives. Therefore, Libro is dedicating efforts to objectively measure which initiatives have a greater impact on the owner’s engagement; so they can have better insights into their audiences and can ensure best-served owners with tailored initiatives. Our main […]

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