Modification of Coin Surfaces Using Atomic Layer Deposition

Circulation coins present a large challenge from the point of view of protecting and enhancing their appearance, as well as incorporating new features for recognition and protection. An ideal technology for the modification of the surface of coins is atomic layer deposition (ALD), where films of any thicknesses from just above the atomic scale to […]

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Measuring the Contribution of Equipment to Performance: Using portable inskateinstrumentation to optimize skate boot/blade set up, training andperformance in world class speed skaters.

Evolution of the on-ice sport equipment, namely skate boots and blades, has been primarily driven by the users; however, there is a lack of scientific evidence supporting the link between skate boot/blade design and set up as it translates to optimal on ice skating technique and performance. We are proposing a new academic-industrialsport research collaboration […]

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Alloy and process optimization for improved mechanical properties in age-hardenable and work-hardenable Al sheet manufactured via a new production process termed thin strip casting, TSC

Conventionally, structural Al sheets are produced via casting thick ingots using Direct Chill (DC) technique, followed by an energy-intensive reduction procedure to the final thickness. A new production process developed by CASTechnology, termed Thin Strip Casting (TSC) technique, can directly output thin sheets, thus reducing the cost as well as the carbon foot print associated […]

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Developing a Compact, Medium Range 3D Imaging LiDAR System

The main technical objective for the intern is to contribute in developing a breadboard that utilizes the laser, receiver and scanner technologies and create a potentially very small lidar. The intern other objectives might also include: • Investigate the transmitter choices and down?select the best one • Examine the available detector arrays • Evaluate whether […]

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Development of models to monitor vitamin D activity

Vitamin D compounds are being developed for the treatment of chronic kidney disease. The purpose of this proposal is to develop a cell-based screening platform that will allow the rapid assessment of relative efficacy of a library of compounds. The intern will use recombinant DNA methodology to generate a cell-based assay in which the green […]

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How severe weather affects the auto insurance industry

In Canada, motorists are faced with a wide range of environmental conditions. Weather, in the form of rain, snow, other frozen precipitation, fog or strong winds, occurs 10 to 20 percent of the time, depending on the location and year. This project, which involves a three-way partnership between State Farm Insurance, the Institute for Catastrophic […]

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The digital e-commerce logistics and supply chains management using block chain technologies

E-commerce has become one major marketing channel for many firms in Canada and world-wide and has increased dramatically in recent years. As firms migrate from traditional physical retail channels to combined physical and virtual channels, the shift brings new significant challenges to supply chain and logistics management. Blockchain is able to maintain authoritative records in […]

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Machine learning in the operating room: focus, performance, and the medical record

This proposed study will significantly enhance our current understanding of how specific intra-operative factors can impact patient outcomes. Our proposed work will provide a proof of concept that machine learning can objectively predict a specific, high-impact post-operative complication, allowing us to move forward with scaling this work to a wide variety of surgical settings. Moreover, […]

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Multi-institute domain adaptation by adversarial constrained medical time series representation learning

Hospitals strive to perform cutting edge medical treatment, treat all patients fairly, and reduce operating costs, while also enabling caregivers to spend more time interacting with patients. Artificial intelligence and machine learning promise these things. However, medical data provides unique challenges for machine learning. Currently, if a hospital wants to include an algorithm for automated […]

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Predicting Treatment Sensitivity in Hypotensive Patients

Anticoagulation with Warfarin is indicated and required for post-operative cardiovascular patients. However, it is a high-risk medication with a narrow therapeutic range where sub-optimal dosing can lead to complications and even death. While multiple risk factors have been associated to Warfarin sensitivity, the prediction of optimal Warfarin dosing strategies remains ineffective and requires trial and […]

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