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 […]

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 […]

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.

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

Perimeter Medical Imaging (PMI) has developed an investigational imaging device to aid in achieving clear margins during surgical oncology procedures. This project will employ PMI’s device to image multiple types of human tissues, which have been previously removed during elective or medical procedures. This study will correlate the images obtained using PMI’s device with the […]