A meeting of the minds meets the challenges of deadly disease

The Canadian Food Inspection Agency (CFIA) — responsible for safeguarding the health of people, animals, and plants in our country — recognizes that scientists do a much better job of identifying and dealing with biological threats if they work together.

Macroeconomic Models for Performance and Investigation Prediction

Corporations are under a lot of scrutiny, especially when they annually release their financial reports to the government. If a corporation makes a mistake, or if an employee submits fraudulent information, or if it appears that either is the case, then they risk being asked to amend the filing by the government, which will cause their share price to suffer and force them to painstakingly redo the report at great expense. Caseware will sell software that can analyze these reports and determine if an amendment request is likely.

Development of Fungal-Specific Stress Response Inhibitors for the Treatment of Fungal Infections

Drug resistance of medically relevant microorganisms poses a grave threat to human health and has severe economic consequences. Fungal pathogens pose an additional complication as they are closely related to their human host. Current therapies to treat fungal infections are limited and drug resistance has already emerged in the clinic. We have conducted extensive research on fungal drug resistance mechanisms and propose to target these mechanisms in combination with existing antifungals.

Legal Question Answering with Machine Comprehension

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to
natural language processing have brought results that are close to human performance in some tasks. However, this approach is still nascent in legal research and it has been identified as potentially fruitful.

Email Mining, Modeling, and Visualization

For this project, a data mining, visualization, and modeling technique will be developed and tested specifically for emails, using publicly available datasets. The mining will consist of gathering email and other potentially related datasets and cleaning those datasets. Cleaning will consist of removing duplicate or unnecessary information, as well as labeling data with basic information in order to ease training in the later steps. Next that data will be visualized in some form (graphs, charts, etc.) so that it may be more easily understood and a training model can be development.

Development of longwave IR colloidal quantum dot solar cell and Development of high throughput characterization methods for solution processed IR colloidal quantum dot solar cells

The potential candidates will help QD solar develop a nano-technology based solar cell using Colloidal Quantum Dots. The research will be focus on the Infrared (IR) portion of the sun’s energy spectrum where standard silicon solar cells are not effective at converting solar energy into electrical energy. More specifically this project will target longwave IR and when combined with QD Solar’s focus on shorter wavelength IR, will create a more complete offering to the marketplace.

Examining Best Practices of Engineers Who Have Commercialized Technologies

Entrepreneurship is the embodiment of innovation and its presence is a significant indicator of the power of an economy. Engineering is an essential sector for production of high technology products, services, and jobs, and is often at the forefront of innovation. This research aims to strengthen the current understanding of entrepreneurial success of engineers in Ontario. Data will be gathered from several academic, and business sources, as well as practicing entrepreneurs with engineering backgrounds.

Assessment of Salmonella enterica and Campylobacter jejuni inhibition using lead single domain antibodies in combination with dysregulators of the master protease ClpP

The human pathogenic bacteria Salmonella enterica and Campylobacter jejuni are commonly found in the intestine of poultry. Consumption of infected chicken and eggs, and its derivatives, is the main and most important source of infection outbreaks in humans causing diarrhoea, fevers and abdominal cramps. In some cases, severe diarrhea and dehydration followed by systemic spreading of these infections is life-threatening. At present, no widely effective strategy is available to control both Salmonella and Campylobacter colonization of broiler chickens to prevent the infection in humans.

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 exposure), and consumption of contaminated animal- and vegetable-based foods (far-field exposure).

Development of a High Power Picosecond Infrared Laser for Medical Applications

This project will focus on furthering the development of a compact picosecond infrared laser (PIRL) system for use in surgical applications. This laser system, which represents a new paradigm for laser surgery, is unique in its ability to provide high-speed cutting of biological tissue without the collateral damage to surrounding tissues inherent in current surgical laser technologies. Furthermore, this laser allows for the possibility of real-time diagnostics, as molecular fragments of the ablated tissue are left intact and can be analyzed through mass spectrometry.