Preclinical evaluation of novel meningococcal vaccines

Neisseria meningitidis (Nme) is a bacterial pathogen that often colonizes the upper respiratory tract of humans without symptoms, but which may also develop into rapidly-progressing sepsis and meningitis that can be fatal. Nme has evolved elegant means to specifically interact with human cells and proteins in order to colonize, survive and the evade host immune system. In partnership with Vaxiron Inc., we are developing a novel class of vaccines that target systems involved in Nme acquisition of the essential micronutrient, iron, during infection.

Chemical and Microbial Contaminants of Medical Air in Healthcare Institutions

Administration of supplemental oxygen through medical air is a life-supporting measure essential for the management of severe primary respiratory conditions as well as secondary lung injury due to systemic insults such as trauma and sepsis. This medical air is often produced on site through devices which draw, compress and filter outside air in order to redirect it into buildings. However, depending on the outdoor conditions, the state of the ventilation system or the presence of microorganisms, this air can be contaminated.

Development of an integrated modelling framework for eutrophication risk assessment and adaptive management implementation

In water quality management, mathematical models are used to understand ecological processes, to predict aquatic ecosystem dynamics, to evaluate management alternatives/climatic scenarios, and to support the policy making process. Environmental models involve substantial uncertainty due to their structure, unknown parameters, and errors associated with calibration data and other inputs. This research program aims to address the urgent need for credible modelling tools by combining environmental mathematical modelling with Bayesian analysis.

Radiation Modulated Nanomedicine Delivery

The current survival times for breast cancer patients with brain metastasis range from 2 to 16 months suggesting a strong need for improvements in their therapeutic care. Although radiation therapy is the standard of care for these patients, combination with chemotherapy has demonstrated promising therapeutic benefits. The hypothesis of this research program is based on the belief that optimizing combination of radiation and chemotherapy has the potential to significantly improve the treatment outcome for patients with breast cancers that have metastasized to the brain.

A Sequential Model to Recognize Depression Acuity Using Social Media and Physical Activity

Over 350 million people worldwide suffer from depression. A key part in diagnosing depression is screening questionnaires, which rely on patient self-reports of the recent past. With the advent of social media and wearable devices, there is an opportunity for a novel approach to detecting when a patient diagnosed with chronic depression becomes acute. In this project, we use social media data and physical activity data to detect depression acuity. Social media is indicative of an individual’s mental state. Physical activity is an indicator of physical wellness.

Acoustics Modeling of ecoCUBE

Emissions control is an important part of any environmental policy. However, in dense urban environments and other locations, it is important to deal with sound as well. To ensure effective pollutant mitigation while also ensuring minimal acoustic disturbance, it is necessary to look at computer models that look at these factors simultaneously. This work will provide SPI with tools necessary for acoustic models while ensuring that their current products meet environmental requirements.

Development of an Equity Risk Score System and Interest Rate Shock Modelling for Value-at-Risk Computation

The objective of this research is twofold: to improve existing risk management framework to assess interest rate shocks, and to develop a new risk factor model to create an equity risk score system to help guide investment decisions.
The first part of this research project involves the development of an equity risk score system to better evaluate the quality of an investment.

Optimization of parameters in Blade Element model for Helicopter Training Simulators

Helicopter training simulators are an important part of improving the safety of both civil and military helicopter operations. The most important part of helicopter training simulators is the model of the helicopter dynamics since it drives all the other simulator subsystems. This project aims to provide CAE with a more automated and accurate method for determining the parameters within their blade element helicopter model such that it matches the real helicopter behaviour.

Innovative design of a sound numerical model calibration process: from lab tests to input data

Geomechanica Inc. develops simulation software (Irazu) for rock engineering applications. This numerical software has been used in several peer-reviewed research publications in the rock mechanics field. A key challenge in the numerical modelling of rock masses is the selection of appropriate input parameters. The objective of this work is to develop a solution to streamline the laboratory testing and integration of the results into Irazu models. As a result, the time needed to build a model will be significantly reduced and the uncertainties in the model inputs will be mitigated.

The SAVI Smart Edge Deploying D2D with Massive Multiple In Multiple Out (MIMO) Antenna Architectures

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence.

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