Integrated Far- and Near-Field Human Exposure Modelling for Organic Substances

While we enjoy the modern convenience brought by a multitude of man-made organic chemicals, such as surfactants and flame retardants, the exposure to these compounds, some of which are bio-accumulative, persistent and even toxic, may endanger our health. Humans are exposed to chemicals in consumer products during both product use in the indoor environment (near-field […]

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Integrated Far- and Near-Field Human Exposure Modelling for Organic Substances – Year two

Thousands of organic chemicals have been synthesized and commercialized for industrial and consumer uses. However, an increasing number of organic chemicals are revealed to be “hazardous” because of their potential adverse environmental and/or health effects. The project seeks to identify the primary route(s) that humans take up these organic substances, e.g., use of personal care […]

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Using Deep Learning for Auto-tuning of High Performance GPU Applications

Graphics Processing Units (GPUs) are increasingly used to accelerate applications and to reduce their energy use. GPUs are particularly attractive for mobile platforms, where battery life is important. However, GPUs are hard to use, requiring developers to apply optimizations to their code to realize the performance and energy benefits of GPUs–a tedious and error prone […]

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Using Deep Learning to Auto-tune GPU Application

The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.

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Zero-Emission Public Transit Fleet Systems

Electrification of transit vehicles is a part of Ontario’s long-term strategy to reduce transportation-related greenhouse gas (GHG) emissions. However, transit agencies and utility/local distribution companies face significant technological and operational hurdles in integrating “off the shelf” electric bus technologies. The postdoctoral fellow collaborating with Canadian Urban Transit Research & Innovation Consortium will work with transit […]

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Zero-Emission Public Transit Fleet Systems – Year two

Electrification of transit vehicles is a part of Ontario’s long-term strategy to reduce transportation-related greenhouse gas (GHG) emissions. However, transit agencies and utility/local distribution companies face significant technological and operational hurdles in integrating “off the shelf” electric bus technologies. The postdoctoral fellow collaborating with Canadian Urban Transit Research & Innovation Consortium will work with transit […]

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Analysis of protein interaction complexes by advanced mass spectrometry workflows

The analysis of protein-protein interactions is critical for understanding cell growth control, and how aberrant connections contribute to cancer and other diseases. Mass spectrometry is a critical tool in this field, but sample complexity, instrument dynamic range and resolution limit some applications. This project will evaluate the use of the SelexION ion mobility device and […]

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Optimization of the immune response against transferrin receptor based vaccines

The bacterial transferrin receptor is considered to be a potentially efficacious candidate vaccine antigen against pathogens important in human disease and in animal husbandry. Previous data suggests that transferrin receptor-based antigens can elicit protection from both invasive disease and potentially from asymptomatic colonization. One major consideration when developing vaccines is the choice of adjuvant, a […]

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Analysis of protein interaction complexes by advanced mass spectrometry workflows – Year Two

By studying protein complexes, scientists gain insight into how cells are regulated and how aberrations in protein-protein interactions cause disease. Mass spectrometry is a technology that allows proteins to be identified and quantified in a systematic and unbiased manner. New technologies from mass spectrometer vendor SCIEX aim to improve the throughput, accuracy and reproducibility of […]

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Effects of Introduced Honeybees (Hymenoptera: Apidae) on Native Stem Nesting Bees (Hymenoptera: Megachilidae) in Temperate, Mixed-wood Forests

The present study investigates the impact of Eurasian honeybees on the functional diversity and reproductive ability of native stem-nesting bees. Honeybees have the potential to compete with native stem-nesting bees, however, currently no studies have examined this interaction in North American temperate forests. The main goal of this project is to develop a more mechanistic […]

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10 Channel Prototype to 16 Channel Medical Grade EEG Headset

Epilepsy affects an estimated 50 million people worldwide. These people can experience unexpected seizures that makes it risky for them to engage in everyday activities like driving and walking. A portable wireless neuromonitoring headset prototype that is worn on the head has been developed by Avertus Inc. to address this issue. The headset is designed […]

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Optical Tissue Imaging DICOM/PACS Integration

The aim of this project is to research and develop a new DICOM modality for the optical coherence tomography images obtained by Perimeter’s Optical Tissue Imaging (OTISTM) device. Following the creation of a suitable modality, a novel solution for transfer to and integration with the PACS servers utilized by current Perimeter customers will also be […]

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