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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Security in Ultra Large Software Systems

Ultra large software systems play an increasing important role in our lives. They are systems such as the world wide banking system, mobile communications systems, social networks, online retailers and online gaming systems. Ultra large software systems are critical and failures in the systems can critically impact the economic health of companies, markets and even […]

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Diversio Customer Success

Diversio is a DEI platform solution and service company. Since its inception in 2018, Diversio has remained committed to helping its clients create “the best culture and business outcomes through investments in DEI”. Diversio’s success is highly contingent upon its clients; in particular, the extent to which it is able to onboard new clients and […]

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Revenue and Cash Management Operations

Uplift Psychology is a new psychology and mental health service business that specializes in tailored psychological and psycho-educational assessments for children, adolescents, and adults. Recently, the organization identified opportunities to enhance its revenue and cash management processes as they plan to expand through the Wellington-Dufferin and Upper Grand area. This project addresses these challenges, aiming […]

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Advanced computing applied to nuclear waste storage and low-carbon construction materials

In a collaborative effort to promote environmental sustainability and clean technology in nuclear waste management, Canadian and French research institutions are joining forces. The project focuses on advancing computational models to better understand bentonite clay, which is essential for safely encasing nuclear waste. The Canadian team contributes advanced computer simulation techniques, while the French team […]

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Discovery of potent beta-lactamase inhibitor peptides to overcome beta-lactamase-mediated antibiotic resistance

The emergence and spread of antibiotic resistant bacteria is a major threat to our ability to treat bacterial infections. The beta-lactams, a group that includes the penicillins, are a widely used group of antibiotics. However, bacteria can become resistant to beta-lactams by producing beta-lactamases, enzymes that inactivate these antibiotics. There has been great success in […]

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