A gap exists in the mass timber industry between modelled construction strategies and its corresponding material usage data. Using a tool that associates visualization and corresponding data, material take offs and costing can be better communicated to clients. With research that improves estimations and mass timber implementation in projects, the building industry will be more […]

Geophysical electromagnetic techniques are used to scan the Earth’s subsurface and can be used to help find buried materials of economic, environmental and societal importance. They are especially widely used in mineral exploration. DIAS Geophysical is developing a new geophysical electromagnetic system that will be flown under a helicopter that should be more effective than […]

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 […]

Cerebral aneurysm (CA) is an abnormal dilation of the cerebral arterial wall and accounts for more than half a million deaths worldwide annually. Flow diverters (FDs) are commonly used to treat CAs but have deficiencies in certain anatomies. In partnership with Evasc Medical System Inc., whose area of expertise is developing treatments for CA, we […]

Additive manufacturing (AM), 3D printing, offers flexibility in manufacturing and can process a wide range of materials. In this project, polymers and composites are investigated to increase mechanical performance, and to reduce weight, cost, and lead time of candidate parts. Pratt & Whitney Canada (P&WC) can greatly benefit from AM processes in aircraft engine components. […]

Minimizing energy consumption is essential to reduce greenhouse gas emissions. With that in mind, the industry partner wants to transition to a quantitative monitoring approach to simultaneously manage product quality and energy consumption. The intern will work to understand the relationship between raw material characteristics, process parameters, product quality indices, and energy consumption. They will […]

Cyber insurance is a relatively new and growing insurance product that provides companies with compensation following cybersecurity incidents involving data breaches, business interruption, digital asset loss and/or cyber extortion. The ever-changing nature of cyber technology combined with the lack of a large history of cyber insurance claims makes it challenging for insurance companies to rapidly […]

Coveo provides search and recommendation software for customer support systems in which customers can ask for help by entering a case description and, on the other side, support agents must find the solution. In this context, queries to Coveo are in the form of long texts describing a problem and potential solutions are knowledge articles […]

Risk evaluation is a crucial aspect of Unmanned Traffic Management (UTM) systems. Risk is calculated for missions involving unmanned systems and includes numerous factors from both ground and air risks. Currently, the risk evaluation and calculation for a mission is done by hand and based on estimations. Furthermore, the final calculated risk for a mission […]

The hippocampus is a small brain region that has a key role in brain diseases including Alzheimer’s and epilepsy. The measurement of hippocampal volume on MRI is important for the diagnosis of these diseases, but this is a complex task because it is a small structure. Further, the hippocampus is divided in sub-regions that are […]

Rangelands store carbon, regulate water, and conserve biodiversity. This research will study the effect of cattle grazing on wet meadow rangelands and their soils. Specifically, this project will measure the effect of changes in plants on soil nematodes. Soil nematodes are important in the cycling of nutrients and carbon and help sustain soil health. We […]

Anomaly network traffic threat detection has been used in many companies to detect threats. Usually, it is deployed on-premises for efficiency and privacy reasons. Anomaly detection system usually consists of a machine learning algorithm that needs tons of time to train and test. Because each company may have different network setup, it is hard to […]