Machine Learning (ML) approaches generally consist of training an algorithm on a given dataset containing data which has to be analyzed or otherwise understood. For an ML application to be successful, careful thought must be given to ensuring that the architecture of the algorithm chosen is fit for the task at hand: some architectures are […]

Japan is a leading example of a nation with a rapidly ageing society and currently consists of the highest proportion of elderly adults worldwide. Among others, this has led to a series of downstream concerns, including labour shortage issues and reduced ability of working individuals to finance those who are retired. As one of the […]

Monocular depth estimation aims to infer the distance information of objects in a 2D image. It is an integral part of many computer vision tasks and has applications to autonomous driving, robotics, and virtual reality, among others. This project focuses on developing a new deep-learning-based monocular depth estimation method with high efficiency, competitive performance, and […]

The main goal of her study is to make sustainable polymers from lignin that can be used in three dimensional (3D) printing material production. The student will work on making 3D printing materials from polymerized lignin and polycaprolactone (PCL). At Abo Akademi, the student will use different monomers to generate composites of lignin and PCL. […]

We propose a solution to achieve a strong interfacial connection between FFF-printed materials and SLA-printed materials by utilizing an ester exchange reaction. Common FFF materials such as PETG and PLA contain an ester structure that can undergo ester exchange reactions with other alcohols in the presence of a strong base such as Triazabicyclodecene (TBD) and […]

This grant application is submitted as a matching grant for a ResearchNS funded project to support post-secondary student success for former youth in care. Canada is a signatory on a variety of national and international declarations on education as a human right, it remains unclear how these contribute to improved access to post-secondary education (PSE) […]

The project will investigate the cross applications of mining tailings and how they can drive economic growth.

The proposed project aims to address ethical challenges associated with AI technologies by researching and promoting intercultural and interdisciplinary collaboration. This intercultural and interdisciplinary collaboration entails drawing insights from people who come from different cultural backgrounds, study different disciplines (engineering, philosophy, sociology, law, etc) and work in different sectors (industry, academia, non-profit, etc). With the […]

Propel Impact will be working with Mitacs interns across two universities to support social innovation and impact investing organizations in Canada.

Novel feeding strategies may be effective alternatives for mitigating the environmental impacts of pig production. Lowering dietary crude protein levels, optimizing nutrient use efficiency, and the use of exogenous enzymes are some nutritional strategies recognized to decrease the use of feed ingredients with high environmental impacts, reducing greenhouse gas (GHG) emissions and other harmful components. […]

Augmented reality (AR) allows us to add virtual artifacts into the physical world. For example, we can place a 3D medieval castle onto the floor of a classroom, allowing students to explore it. AR supports collaborative learning since students can all see the same virtual artifact, and can interact using natural gestures like pointing. In […]

This project, in collaboration with the Cansbridge Fellowship, a non-profit with a strong history in fostering international trade, innovation, and investment in Canada, aims to promote sustainable manufacturing. By conducting research, identifying inefficiencies, and developing AI-driven tools to measure sustainability, the project will help businesses adopt greener approaches to fashion production. In addition to benefiting […]