Lobster Acoustic Signalling During Behavioural Interactions

Acoustic Bait Technologies (ABT) is a start-up company located in Morristown, Nova Scotia. They are developing an alternative bait system for the lobster fishery, with the goal of helping the industry switch to more sustainable bait use. They are pursuing the use of recorded acoustic lobster sounds to modify the behaviour of lobsters to attract […]

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Variations du microbiome des baies et des feuilles de vignes soumises à différents changements de température au champ

Au Canada, les études explorant la relation entre la vigne et son microbiome sont encore peu nombreuses, surtout sur les cépages hybrides cultivés dans l’Est du Canada. Ces cépages, issus de croisements entre l’espèce Vitis vinifera et des espèces Vitis indigènes à l’Amérique du Nord (V. labrusca, V. riparia), ont une biochimie particulière, qui leur […]

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Predicting Equipment Failure in Canadian Mines

In order to reach the production targets, mining operations typically need to operate without a stop. Equipment maintenance planning plays an important role in ensuring the required number of mining haul trucks are available at any given time. If not planned correctly, corrective maintenance would be required, which could slow down or halt the production […]

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Équité algorithmique; impacts et changements de mesures

Présentement, les modèles de tarification en assurance auto calculent les primes chargées aux assurés en tentant de prédire leur risque d’assurance grâce à plusieurs critères (âge, sexe, état-civil, expérience de conduite, caractéristiques du véhicule, etc.). Le problème auquel ce projet s’adresse est celui du point de vue éthique d’une telle approche. En effet, l’usage de […]

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Efficient, Edge-based Video Streaming for Video Action Recognition

Streaming video applications in the home (video doorbells, security cameras, babycams, robot vacuums etc.) have started to become commonplace. Automatically detecting events of interest in such video streams can help to reduce manual effort from users in sifting through false alarms, enhance user safety, comfort and satisfaction, as well as enable new applications in areas […]

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Design of Tunable Surface Coatings for Magnetic Nanoparticles for the Adsorption and Removal of Organic Contaminants

This project entails the design, synthesis, and characterization of porous surface coatings made from metal–organic frameworks for magnetic nanoparticles. The combination of these two materials will allow for the removal of organic contaminants that currently interfere with the correct functioning of DNA and RNA extraction test kits (e.g., COVID-19 test kits). As developers and producers […]

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Optimized operational strategy planning model for Smart Net Zero Community

Due to some complex technical problems, both power plant’s generators and local grid transmission lines do not have the potential to generate and transmit enough electricity to cover and meet all load demand during peak hours. Based on this technical difficulty, there is no solution for customers to use costly energy during peak hours and […]

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Modeling Application Performance under Multi-Instance (Multi-Stream) Execution Scenarios

Multi-stream execution is a technique in GPUs that allows multiple operations/kernels from the same program to effectively use GPUs without explicitly stating the affinity of threads to the cores. Several recent optimizations in Machine Learning (ML) algorithms leverage multi-stream execution. While performance modeling of ML applications is well studied under single-stream execution, performance models of […]

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Fabrication of Deformable Micro Mirrors

Histology studies the microscopic anatomy of biological tissues, which is critical to clinical disease management and fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive issue preparation prior to imaging and may thus take days. Photoacoustic remote sensing, or PARS, can dramatically reduce the histology bio-imaging time from days to […]

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Forecasting Patient Flow Pressures

At St. Michael’s Hospital (SMH), having insight into patient flow throughout the hospital is essential to resource planning and operational efficiency. When patients are admitted, discharged, or transferred in the hospital, several actions need to be taken to ensure patients receive timely care and resources do not become backlogged. Improving patient flow reduces wait times, […]

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