Virtual environments represented by multibody system models play an important role in many applications. Adding the possibility of the user directly interacting with such environments via physical touch using haptics can significantly enhance the usability and range of application of simulated environments. In this project we particularly target two main objectives: (1) the multirate-simulation and […]

In this project, we focus on increasing sales in e-commerce shops by offering purchasing incentives to shoppers who are likely to leave without buying. More specifically, our goal is to predict which shoppers are likely to abandon their shopping cart and what can be done while they’re still on the site to customize their shopping […]

The allergen inhalation challenge model is an important research technique for asthma drug development, and has been used for many years by the AllerGen CIC consortium of Canadian investigators in their evaluations of new asthma therapies. An alternate nebulizer is needed for performing inhaled allergen challenges, and this device needs to be tested for its […]

Cultural eutrophication, the excess input of nutrients by humans to waterbodies, is one of the biggest global threats to aquatic ecosystem health. Effective management of eutrophication requires the identification of nutrient (nitrogen and phosphorus) sources and their relative contributions to an aquatic system. This is difficult, because there can be sources in a single watershed. […]

The project is self-contained. The goal of the project is to develop advanced AI assisted tools for artistic game development. It is anticipated that the advanced modeling of pose based on a mix of 3D motion capture (MOCAP) data and videos capturing human motion will help create advanced AI assisted game design tools that will […]

Presently the electrical grids of Manitoba, Saskatchewan and Alberta are operated with limited energy exchange between them. Connecting the three provinces together with a “Western Canada Grid (WCG)” could yield significant advantages. Connection with HVDC transmission is attractive due to its control flexibility and stability. This project will investigate optimum converter types and control methods […]

Imaging of cerebral perfusion (the delivery of blood to a capillary bed in the brain tissue) is significant for diagnosing a variety of diseases. There are multiple challenges associated with perfusion imaging which significantly limits the quality of cerebral perfusion images. I am planning to develop a novel approach of cerebral perfusion magnetic resonance imaging […]

Individuals with post-traumatic stress disorder (PTSD) often struggle to relax, or simply be at ‘rest.’ In particular, recent research has revealed participants with PTSD show hyper-activity across the visual cortex while at rest. Referred to as sensory hyper-activity and disinhibition, altered resting-state patterns are thought to be underlying hypervigilance and re-living sensations clinically, as well […]

During surgery, a neurosurgeon must refer to three levels of image information: macroscopic from the patient’s MRI or CT, providing anatomical context of the surgical target; mesoscopic information from a surgical microscope or exoscope providing a highly magnified view of the region surrounding the surgical target; and the most important microscopic information provided by histology […]

During surgery, a neurosurgeon must refer to three levels of image information: macroscopic from the patient’s MRI or CT, providing anatomical context of the surgical target; mesoscopic information from a surgical microscope or exoscope providing a highly magnified view of the region surrounding the surgical target; and the most important microscopic information provided by histology […]

L’épinette blanche est une espèce particulièrement sensible au gel printanier et automnal. En endommageant les méristèmes responsable de la croissance, le gel entraîne de fréquents échecs de régénération, surtout en zone boréale. Puisque le réchauffement moyen de la température de l’air déclenche plus hâtivement le débourrement des bourgeons, les méristèmes s’exposent davantage aux évènements de […]

This project aims at employing AI and machine learning techniques to monitor and improve software quality. The quality of the system is to be measured by several metrics including the number of existing software defects, the normal/abnormal behavior of the system, test quality, test coverage, etc. The project focuses on studying historical data and trends […]