Wahkohtowin Northeast Superior Guardian Program

Indigenous participation is integral to the advancement of community-led governance over natural resources development projects. Stemming from such undertakings is the need for effective and continuous environmental monitoring for mitigating impacts to traditional lands and waters. The research proposal is aimed at articulating community-identified values and objectives for the development of an effective and culturally […]

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Design and development of a big data analytics system to accommodate dynamic risk modeling of emergency responder delays at active rail crossings

In this project, we design and develop a big data analytics system, which is expected to support the advancement in the state-of-the-art in modeling the dynamic risks associated to emergency responders being delayed at active rail crossings. The model will be used to show risk within cities and support prescribed solutions to mitigate the impacts. […]

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Data use for HIV Prevention in Malawi

HIV prevention is a growing, and essential facet, of halting the HIV epidemic. Reducing the transmission of HIV and ensuring individuals are tested and put on antiretroviral therapy (ART) cannot effectively and efficiently be accomplished without decisions that are founded on high-quality evidence. Current projects focus on data availability and use among decision-makers and actors […]

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Targeting SARS-CoV-2 (COVID-19) methyltransferases (nsp10-nsp14 and nsp10-nsp16 complexes) toward developing small molecule antiviral therapeutics

COVID-19 pandemic has brought the world to standstill with more than 3 million people infected and more than 200 000 mortality so far. It has literally brought the health care systems in many countries to the breaking point, if not beyond. The economic consequences have been devastating with millions of people out of work. We […]

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Machine Learning for Cancer Treatment Plan Benchmarking

Oncology specialists are few in numbers and cannot be present within every hospital or clinic providing their guidance and support. There are institutions in this world with oncology experts that can provide the best possible care and the knowledge of these experts is stored in medical case files within the hospital. With the power of […]

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Enzymatic nano-immobilisation facilitated by 2D materials for antifouling coatings – Year two

Enzyme immobilisation is crucial for preserving the enzyme activity while enabling the enzymes to be recovered and reused for multiple applications in biocatalysis. However, immobilisation can change the structure and functionality of enzymes. Therefore, immobilisation of enzymes needs to be carefully investigated and controlled at fundamental levels. The emerging two-dimensional (2D) materials, such as graphene […]

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Biomarkers of susceptibility for COVID-19 in wastewater for the purpose of epidemic forecastin

This project proposes for Ontario a transformative approach for identification and surveillance of COVID-19 and prediction of COVID-19 outbreaks based on wastewater-based community-testing epidemiology. WE will identify and measure SARS-CoV-2 RNA and molecular biomarkers of health excreted by populations and use modelling to predict the special-temporal occurrence of emerging outbreaks in sewage wastewaters. Our team […]

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Towards a lab-on-a-chip-based rapid-screening system for pathogens

In light of the recent outbreak of Covid-19, it is urgent to find a solution for quick and efficient pathogen detection and elimination. Rapid point-of-need diagnostic tests and monitoring devices are urgently required in order to provide testing and care to those infected. Currently, testing is performed at centralized facilities using specialized equipment for molecular-based […]

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Explore efficiently automated parallel hyperparameter search for optimizing machine learning models over large scale cloud cluster

Machine learning has been applied in various fields and shown promising results in recent years. Researchers have found that tuning machine learning models in a proper way can vastly boost the model performance with respect to the specific AI task. However, tuning machine learning models at scale, especially finding the right hyperparameter values, can be […]

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Development of targeted degradation of Nuclear Receptor Binding SET Domain Protein 2 (NSD2) by Proteolysis-targeting chimera (PROTAC) for the study of its role in SARS-CoV-2 infections

The recent outbreak of the SARS-CoV-2 associated coronavirus disease, COVID-19, had been declared a global pandemic by the World Health Organization. There is still only a minimal understanding of the virus and an absence of effective targeted therapy for its treatment. Epigenetic regulations in cells control the expression of genes without modifications to the genetic […]

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