This research project seeks to explore/determine if mass-stakeholder-groups can be purposefully, and directionally, influenced to self-alter their respective normative patterns of behavior, and to then further self-sustain their new normative behaviors through their self-interests and self-direction. In other words, if we increase their awareness of tools and supports available, could we encourage those who are […]

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]

At a high level, the goal of this project is to create a system for producing synthetic datasets based on real data. As a large financial crime detection firm, Verafin deals with large volumes of sensitive data which must be kept private, however they are also interested in collaborating with academics to gain new insights […]

The proposed research will explore opportunities in measuring spatial variability in soil, water and topography within potato fields. Addressing this variability by doing site specific application of inputs such as fertilizer, crop protectant and seed can help to increase environmental sustainability and economic viability in potato production. This research will help develop new applications for […]

Terrestrial contaminated sites – such as abandoned oilfields, chemical spill sites, or former industrial zones – are a major environmental problem in Canada and around the world. Environmental Material Science has created new environmental monitoring equipment that generates high-resolution spatially and temporally explicit data on environmental quality. The data must be visualized and then used […]

Deep learning in medical imaging analysis has revolutionized the field in areas such as computer-aided detection and segmentation of clinical abnormalities. Several studies have been published on lung cancer screening using deep learning methodologies. Specific to lung cancer screening, algorithms have been trained to automatically detect and diagnose lesions in the lungs in low dose […]

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non-Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. Scrawlr […]

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]

In southern Canada, wolverines share their natural habitat with humans. Forestry, for example, alters local ecosystems and leaves behind road networks that give access to people, also including recreationalists. Finally, many valley bottoms contain human infrastructure. This research project examines if wolverine numbers are impacted more by human or natural factors, determines if population connectivity […]

Myoelectric controlled interface (MCI) has been extensively investigated as an effective tool for the control of advanced prosthetics, exoskeleton, entertainment gadgets, etc. In these human-in-the-loop applications, the time delay through the loop: from the generation of human intentions, to action of the machines in response to human intention, to the feedback the machines provide to […]

Most rubber products require curing that involves either sulfur or peroxide curing and other ingredients such as accelerators, antioxidants, antiozonants, and heavy metal oxides. Some of these ingredients, either individually or in combination, generate environmental pollutant and hazardous gases and fumes during rubber processing or storage. Thus, there is a continuous need by the rubber […]