Our research project focuses on enhancing the performance of grease lubricants utilized in the mining industry through the incorporation of graphene nanoparticles. Graphene is a cutting-edge material known for its exceptional lubricating properties. The intern(s) will collaborate closely with Nova Graphene Canada to synthesize and test these advanced lubricants. The expected outcome is the development […]

As Artificial Intelligence (AI) becomes more developed and integrated into society, it will no longer consist of single isolated systems, but networks of AIs interacting with humans in socio-technical systems interwoven into the functioning of our society. When systems have many interacting components, they start to interact in unexpected ways and become hard to predict […]

Contamination of water and soil with heavy metals, particularly with mercury (Hg) and lead (Pb), is a huge problem of modern society. Rigorous monitoring of levels of Hg and Pb in water and renewable resources including food, natural and naturopathic products and/or cosmetics, is drastically important. Therefore proper methodologies for the express detection and effective […]

Despite being a significant predictor of musculoskeletal injury, mitigating muscle fatigue in automotive assembly remains a significant challenge. Administrative controls, such as job rotation and work relief, are often employed to reduce fatigue exposures, but little guidance is available on their optimal use-cases. The first objective of this project is to evaluate different relief/rotation schedules […]

The city of Oshawa has faced stigma related to challenges of vibrancy, safety, and cohesiveness, especially in its downtown core. There are a range of community development models that could aid in thinking about how to build community in this context (‘health’, ‘happiness’, ‘resilience’, ‘inclusion’, etc.). These models are valuable for inspiring ways of thinking […]

This project aims to develop a fuel cell-powered refrigerated trailer that can operate in different climatic conditions to provide cleaner transportation. Hydrogen will be the only source for refrigerated trailer operations. The present project has three objectives: to develop a thermal management system for extreme winter and summer conditions for operating the fuel cell under […]

With the recent emergence of the Metaverse, we observe an exponential omnipresence of 3D content in all technological fields, generating ever-large data sets on multiple different devices and a multiplication of user needs. Providing remote computing power, especially 3D rendering, represents a major technological challenge for many fields. However, real-time experiences and collaboration – which […]

Systematic reviews are a type of research that collect and assess relevant information for a specific research question. However, they can take up to two years to complete. In situations with time constraints or limited resources, rapid reviews can provide decision-makers with evidence. Rapid reviews use modifications from systematic review processes, called trade-offs, resulting in […]

Intelligent health-conscious battery management system (BMS) and advanced battery thermal management systems (BTMS) are essential to improve performance of energy utilization, safety, and cycle-life. Improvement in the energetic performance on all these levels encourages integration and development within the full thermal installation. This project will look at Artificial Intelligence (AI)/Machine Learning (ML)-based intelligent state estimators […]

This research project aims to create an Intelligent Query and Learning System (IQLS) that can integrate knowledge from multiple sources such as documents, web pages, voices, input texts, images, and videos. The IQLS will use learning and reasoning techniques to update the knowledge structures dynamically and allow multiple users to integrate their knowledge packages and […]

Machine learning attempts to model high-level abstractions in data using multiple processing layers with complex structures or non-linear transformations. Federated learning is a distributed machine learning approach that allows multiple parties to collaborate on training while preserving user data privacy. However, the data from each party is typically non-independent and identically distributed (Non-IID), which can […]

In 2018 the Region of Durham created the Durham Community Energy Plan (DCEP), Durham Region’s strategy for reducing greenhouse gas emissions and transitioning to a green economy. Achieving the goals of the DCEP will provide multiple economic, environmental and social benefits to Durham Region. Successful implementation of the DCEP however will require collecting and reporting […]