Etuaptmumk, a Two-Eyed Seeing approach to Live-Projects – Prototyping Deployable, Culturally Identifiable Spaces for Indigenous Youth Athletes

The NAIG 2023 is trialling Brave Spaces for young athletes — outdoor rooms providing for moments of pause or rest during the event programming. The idea for this particular program came from NAIG and relates to the observed experiences of youth athletes during previous games. Reflection on this trial will be useful for the NAIG […]

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Investigating Sugar Kelp’s potential as an environment-friendly biofertilizer for sustainable potato production

The proposed research aims to evaluate different processing techniques to ensure sugar kelp’s safety and stability as a biofertilizer for potato production. And nutrient contents of the processed kelp will be determined, and plot-scale experiments will be conducted to grow potatoes under exclusive and in-combination application of processed sugar kelp with synthetic fertilizers for 2-years. […]

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Enhanced machine learning for hematology analytics with near-field microscopy

Alentic Microscience Inc has developed a highly portable device that can analyse blood in a few minutes, opening the possibility for much improved healthcare for a lower coast. The system uses AI a proprietary sensor system that provides data for an AI based analysis technique. In this project we will evaluate the impact of recent […]

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Natural Health Products to Manage Cancers of Dogs: A Pre-clinical Investigation

More than half of Canadian households have companion animals such as dogs or cats. However, cancer has become the leading cause of death in dogs. Currently, available treatments have limitations and compromise the quality of life of dogs. Dragonfly Research Inc (Adored Beast Apothecary) wishes to develop unique natural health products (NHP) to prevent and […]

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Determing the value of delivering light >500nm to dental resins

A new curing light, PinkWave (Apex, Racine, WI) was introduced last year (https://vistaapex.com/pinkwave). This light is unique because it has four distinct wavelength bands that deliver red (625 – 750 nm), infrared (800 – 900 nm), blue, and violet light. The manufacturer also claims that this ‘quad-wave’ light can reduce polymerization shrinkage stress.[13] Initial reports […]

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Integrated crop management for industrial hemp

Industrial hemp – grown for stem fibers and seeds – is a sustainable high-yielding and environmentally friendly crop with typically, low cannabinol content. Industrial hemp is used to make over 25,000 green products and have the potential to sequester between 10 and 22 t/ha of carbon dioxide emissions. However, industrial hemp productivity and quality are […]

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AI-based decision support tool for storm damage prediction in Nova Scotia

Nova Scotia Power Inc. (NSPI) is the main provider of electricity in Nova Scotia. The largest disruptor to its system is the weather, which can lead to widespread equipment failure and outages across the grid. NSPI attempts to predict these damages before they occur to decide on the appropriate level of response and allocation of […]

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Robust scheduling of liner shipping under disruption scenarios

This research proposes a new recovery model for addressing issues with container ship disruptions. To minimize the negative impact of these disruptions, the model formulates a mixed-integer programming approach that simultaneously considers three recovery strategies, namely vessel speeding-up, port skipping, and alternative routes. The study clusters call-ports and utilizes port hubs to minimize transshipment costs […]

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Application of multi-agent systems and block chains in additive manufacturing network scheduling

Additive manufacturing technologies enable facilities at any location in the global supply chain to bid for customer jobs. In this setting, job scheduling is based on due-dates, proximity to customer location, opportunities for cheaper consolidated shipments with other customers, etc. Both multi-agent systems and block chains can support scheduling for decentralized manufacturing. In this project, […]

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Application of Artificial Intelligence in Human Fall Detection

Falls are a significant public health concern, particularly among older adults, who are more vulnerable to injury and death resulting from falls. According to the World Health Organization (WHO), falls are the second leading cause of accidental or unintentional injury deaths worldwide. With the global population aging rapidly, there is an urgent need to develop […]

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Modeling and simulation for predictive building control using high-resolution climateforecasting

The state-of-the-art of building energy management systems uses model predictive control to compare alternative control strategies prior to implementation. Climate conditions dramatically influence the control strategy selection. These rely on conventional climate forecasting that provides coarse resolution with respect to both time and space (e.g. 1 hour, 50 km). The industrial partner Green Power Labs […]

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