Developing Skills and Connections for Success in the Innovation Economy: Business Strategy Internships with the Cansbridge Fellowship

The project harnesses the robust mentor network of the Cansbridge Fellowship to enable interns to promote Market Innovation. Aligned with the Fellowship’s core mission of attracting budding entrepreneurs and fostering innovation, the intern, guided by the academic supervisor, will focus on identifying innovative organizations for potential strategic collaborations with Canada. The intern’s comprehensive market scan […]

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Visual SLAM for Navigation & Mapping

Autonomous vehicles (AVs) promise to enhance safety, reduce emissions, and improve transportation system efficiency and reliability. The growing demand for AVs is shaping the future of the automotive industry by transforming the in-vehicle experience and paving the way for large-scale implementation of autonomous driving. AV technology requires onboard intelligence relying on sensors and systems such […]

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AI Solutions Engineer Intern

Tekside aims to streamline marketing processes through harnessing the power of artificial intelligence (AI) to provide insights and streamline content creation. The core focus is ensuring that the content we generate is not generic but highly personalized and relevant to specific customer segments. Tekside emphasizes the activation of tailored content using Intelligent Email Marketing. Tekside […]

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Inclusion in Recreation and Physical Activity: Best Practices for Canadian Municipalities

Municipal governments are required to provide recreation, sport, and physical activity opportunities to all citizens, including those who experience disability. However, municipalities may not be aware of the key factors that will increase participation for this population. The goal of this project will be to develop a set of recommendations for municipalities to create and […]

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Veterinary Disease Detection Using Machine Learning and Deep Learning Architectures

In recent advancements, researchers are leveraging deep learning and machine learning for improving medical care, particularly within the veterinary field. The development of smart, wearable biosensing devices, equipped with non-invasive sensors and integrated with machine learning algorithms, facilitates real-time health monitoring. Continuous monitoring of health data through these devices offers valuable insights into adverse health […]

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Machine learning approach to monitoring and decarbonizing mineral processes

Within Canada’s commitment to the 2030 Agenda for Sustainable Development, a pivotal goal involves taking immediate action to combat climate change and its far-reaching effects. The specified target is a 40% to 45% reduction in the country’s total greenhouse gas (GHG) emissions below 2005 levels by 2030. To transition away from fossil fuels and embrace […]

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Plasma Diagnostics on FRC Devices

The intern’s project will consist of measurements of important plasma characteristics for confinement, such as ion/electron densities and temperatures. This will be done at Nihon University where they have a one-of-a-kind Field-Reversed Configuration (FRC) collisional merging device. This device generates and magnetically-confines a plasma for the purposes of plasma fusion research and is an alternative […]

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Topology Optimization for Mass Reduction of a Roller Coaster Vehicle Bogie Subject to Fatigue Constraints

The proposed research involves a partnership between researchers at Queen’s University (Kingston, Ontario) and industry experts at Dynamic Structures (Burnaby, British Columbia). The primary objective of this research is to optimize the design of a rollercoaster vehicle bogie. Two goals are defined to be simultaneously achieved by the project: the minimization of both the bogie […]

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System Design of a Multi-Criteria Decision Analysis (MCDA) Tool for Repurposing Pit Lakes into Aquaculture Operations

With the mining industry striving to become more sustainable, there is a pressing need to re-evaluate typical open pit restoration practices. Many open pit mining operations are naturally inundated after operations, leaving behind an unproductive lake. These sites neglect the environmental, cultural and socio-economic implications for dependent communities. One promising alternative that generates a positive […]

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