Dynamic Systems Analysis develops and markets dynamic modeling tools like ProteusDS to predict the behavior of mechanical systems in service in the ocean and marine environments. ProteusDS relies on empirical loading coefficients to predict system loads to calculate the dynamic response of mechanical systems. DSA sees a growth opportunity to apply ProteusDS to predict dynamic […]

The hypothalamic paraventricular nucleus (PVN) is an area of the brain that plays an important role in processing information regarding body homeostasis. Neurons within this area can directly detect circulating signals regarding homeostasis, such as molecules and peptides. Arginine-vasopressin (AVP) and oxytocin (OXT) are two peptides found within the PVN that are thought to be […]

Along with industry partners, including NGrain, Convergent Manufacturing and Boeing, we are proposing to develop state-of-the-art visualization and interactive techniques for exploring sensor and manufacturing component data, in-situ. Through a combination of user research and user-centered design techniques, this project proposes the development of a technical demonstrator of a mobile manufacturing job aid as the […]

Microorganisms, such as algae, yeast, and bacteria, have the potential to produce nutraceutical, biofuel, and other high-value coproducts directly and efficiently. The difficulty in realizing this potential lies in a) finding the optimal conditions to maximize algae growth and co-product production, and b) scaling up from experiments in a research laboratory to an economically viable […]

Copy number variations (CNVs) are an important type of structural variation affecting pathogenesis of complex diseases, such as inflammatory bowel disease (IBD). Accurate detection of genomic regions with CNVs is crucial for understanding the etiology of IBD, as these regions contain likely drivers of disease development. Microarray technology provides single-nucleotide resolution genomic data and is […]

The purpose of the project is to generate soybean plants able to tolerate whole plant submergence and waterlogging (soil submergence). This will be achieved by inducing Pgb, a gene normally present in soybean and known to confer tolerance to excessive humidity, through genetic manipulations. Correlative studies between Pgb expression and performance under excessive water conditions […]

The purpose of the project is to generate soybean plants able to tolerate whole plant submergence and waterlogging (soil submergence). This will be achieved by inducing Pgb, a gene normally present in soybean and known to confer tolerance to excessive humidity, through genetic manipulations. Correlative studies between Pgb expression and performance under excessive water conditions […]

Infectious diseases ranging from avian influenza to Ebola virus infection are among the most serious health emergencies in Canada and globally. Current diagnosis methods such as cell culture, ELISA and PCR suffer from inaccuracy, high-cost and lengthy procedures. Therefore, there has been a growing trend to develop new point-of-care diagnostic tools and microfluidic devices are […]

This research is designed to assess various factors related to the dispersal and recovery of the Peregrine Falcon in Manitoba. As the Peregrine Falcon continues to be designated “Endangered” in Manitoba and “Threatened” nationally, data regarding survivorship, mortality factors, habitat use, and movements are required to guide future management activities related to the provincial Peregrine […]

The proposed internships will be aimed at developing advanced computer (software) and hardware platforms for simulation of modern power-electronic converter systems used in emerging electric power transmission systems. In particular, modular multi-level converter (MMC) simulations will be targeted. These converters are considered the primary candidates for dc systems used to integrate renewable energy sources into […]

In recent years, Wide Area Measurement System (WAMS) based on Phasor Measurement Units has been built, which provide favorable opportunity to online monitoring of system quantities. Nevertheless, the information, which contains useful data and captured by WAMS, require outstanding techniques to extract and estimate the parameters of interests. The main objective of this research work […]

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since images are of the most important data shared by social networking apps, an important problem for the company is to identify images that are unsafe or inappropriate. In particular, images containing certain objects (e.g. knife, gun, bikini, etc.) […]