This project would address basic unanswered questions about how the application of environmentally benign process (i.e., biohydrometallurgy) on mine ores and tailings can leach and extract base and, precious that are essential for today’s “smarter” technologies. Bioprocessing methods for bio-extraction and bio-recovery of elements offer a new potential sustainable alternative compared to chemical conventional approaches. […]

This MITACS Accelerate program will support a internships for graduate students in the areas of services and applications using next generation communications, Internet, and cloud computing. The interns will be placed in Canadian telecom and networking providers and vendors and will undertake research projects defined jointly with these partners. The program will prepare graduates to […]

Hypoglycemia or low blood sugar is a phenomenon that results from excess insulin or strenuous exercise in diabetic patients. If untreated, this can quickly lead to dizziness, seizures and even death. In healthy individuals, the body is able to compensate for these fluctuations and restore blood sugars to normal levels by lowering insulin and raising […]

Blockchain technologies are increasingly becoming integral parts of information systems in domains that exhibit an increased need for resilience and can make no assumption of trust between parties. However, properly adopting blockchain in an information system design remains difficult, unsystematic and requires thorough understanding of the technology. In this project we explore ways by which […]

The goal of the project is to research and develop computer vision algorithms, software, and specialized hardware for the analysis of mixed traffic at intersections. Road users will be detected and classified as motor vehicles, pedestrians and bicycles. Road users will be geo-located within a 3D model of the intersection, tracked and classified according to […]

Stock-based compensation allows employers and employees to share in the risks and rewards of their company’s success. In addition to intangible benefits such as team building and goal sharing, there can also be large financial rewards for employees and similar costs to employers. These costs must be reported in the company’s financial documents such as […]

This goal of this project is to develop a Standards Proposal and initial framework to guide the use of online voting in municipal elections in Ontario. Elections in municipalities in Ontario are among the most digital in the world, yet there are no guidelines to shepherd use of the technology. Working with our partners we […]

In this project, machine learning and optimization will be applied to a 20 GB dataset on raw fish quality and process control parameters collected by the Tally software over a three-year period in a large industrial tuna cannery processor. The goal of the research is to design predictive machine learning and optimization algorithms maximizing the […]

As Covid-19 Pandemic shows that we are surrounded by global unforeseen risks. Housing and housing financing are significant parts of people’s life and global crises may always put people’s right to housing in danger. For this very reason, it is a necessity to look for alternative financing models for housing as affordability would decrease the […]

The coronavirus crisis has disrupted the social and economic fabric of communities around the world. This has profound implications for the sustainability and innovation challenges those communities are facing, and for the higher education institutions and professional educational businesses who have missions to prepare and support those communities to tackle those challenges. This research will […]

In light of disruptions caused by COVID-19, companies employing frontline workers must balance health and safety with maintaining productivity to survive and thrive in an unpredictable economic climate. This picture is complicated by the need for rapid learning in new, redeployed, and longstanding employees. How is workplace learning impacted by the COVID-19 pandemic and how […]

There is currently an abundance of research in the community in terms of capturing X-ray data around COVID-19 analysis to help diagnosis for radiologists. However, at the same time there are staffing shortages that lead either to long diagnosis wait times and potential misdiagnosis. Our research is focused around rapid deployment of AI and developing […]