The proposed research project is a novel addition to a larger funded trial evaluating a substance misuse intervention program for university students, Univenture, that is being carried out at five universities across Canada. The postdoctoral project is experimental in nature and aimed to investigate whether the personality-targeted psychological intervention for substance misuse also results in […]

In-water measurement and sample collection solutions for environmental marine monitoring will be studied. Fine-scale responsive measurements cannot be achieved cost-effectively with satellites or aircraft. For near-surface monitoring, an unmanned aerial system (UAS) could achieve the necessary spatial-temporal sampling. The proposed solutions deploy a payload sensor and/or sample grabber from an UAS with a winchable tether. […]

Space systems such as small satellites and rovers operating in earth’s orbit, or more recently in interplanetary missions are starting to utilize the features of Artificial Intelligence (AI) in their designs, to reduce human interactions, minimize error and preserve communication bandwidth. AI in space applications can be seen in service vehicles, autonomous image and signal […]

Companies must not harm species at risk around their fixed infrastructure and need a way to detect and monitor at risk fish. However, a species at risk cannot be tagged and studied using conventional surgically implanted fish tracking technology. Innovasea is therefore developing a platform to monitor fish using a combination of sensors such as […]

There is a fact that over the last decades life expectation is increased, and human nation is experiencing a longer life span. The idea is to utilize technology in a way that people (senior or patients) can stay at their own home with less care facilities and less life quality degradation with less third-party assistance. […]

Natural biomaterials such as cotton, wool and bamboo are common biofibres due to their accessibility and high performance characteristics in textiles. However, their strictly defined composition is severely limiting, as the materials cannot be adapted for alternative uses. Thus, producing biomaterials at an industrial scale has been an active area of research, where the goal […]

Many First Nation communities are now exploring and developing post-harvest livelihood activities related to the purchase, transformation, and sale of catch from band harvesters. This research will assess post-harvest businesses currently operating within NS Mi’kmaq communities, and new livelihood opportunities currently being considered by Mi’kmaq Band Councils and entrepreneurs. This assessment will focus on the […]

NIRS is a popular secondary analytical method that is being used for non-destructive quantification of compounds and mixtures in the agriculture and agri-food sector. The study aims to estimate the starch content (amylose and amylopectin) in rice samples with NIRS. A dataset is being established by obtaining NIRS spectra (400 to 2500 nm, 0.5 nm […]

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

One of the important concerns in the oil and gas industry, as in many other fields, is making sure that work processes comply with the industry-specific regulations, guidelines and standards. These standards cover a plethora of requirements, from managing equipment and people, to conducting work processes that minimally impact the environment and ecosystems. For Canada, […]

Accurate and sensitive analysis of lipids is a challenge for the medical and nutritional fields. In this proposal, we describe a new method for their analysis using a technique seldom applied to these problems. We propose to make a number of modifications to existing instrumentation to facilitate this; in partnership with Dalhousie and the Atlantic […]

The goal of this project is to train a machine learning model that can identify player’s personae using VLT (Video Lottery Terminal) data within a transactiontime limit. The personae are results of the previews MITACS project. Using unsupervised learning each playing session was associated with a playstyle. Identifying the playstyle as soon as possible is […]