Fall and Head Impact Acceleration Monitoring of Short Track Speed Skaters

Short track speed skating is a fast-paced sport where athletes routinely reach speed above 50 km/h. It is one of the leading Canadian sports for medal count at the Olympic games. Unfortunately, given the fast-paced and pack-style skating, athletes often fall on the ice, which may lead to concussion. There is no clear data on the incidence of falls in short track speed skating, nor is there a clear understanding of the mechanism of head impact.

Therefore, this project will track the incidence of falls and measure head impacts that may lead to concussion using ‘smart’ mouth guards.

A Novel Bone Anabolic Treatment in Mouse Models of Pediatric Bone Fragility Disorders

Children that break their bones repeatedly often have genetic conditions that either affect bones directly or indirectly. The drugs that are currently used to decrease the number of fractures in children are only partially effective. Mesentech Inc. has developed a new drug that has shown a strong effect on bone formation in rats. In this project, we will test the effect of this drug in mouse models of a condition that affects bone directly (osteogenesis imperfecta) and a condition that affects bone indirectly (Duchenne Musclar Dystrophy).

Multi-chip Integration of Lasers and Silicon Photonics

In the era of big data, internet of things and cloud computing, the ever-increasing demand for bandwidth density causes a bottleneck in inter and intra-datacenter communication systems. Optical integrated circuits based on the silicon-on-insulator platform is a well-known solution to overcome the bottleneck in data rate transmission. It is an interesting platform as it can be fabricated through existing CMOS technologies and the high index-contrast between core and cladding helps realize compact, and low loss structures.

Multifunctional Life Cycle Assessment (LCA) of the HubTrack helical transmission system for its application in transportation sector

With the latest measurements and experimental tests, we have strong evidence that the HubTrack is energy efficient and ecologically sound for a multifunctional transportation solution. Currently, the latest HubTrack operational system has reached the stage of pre-commercialization with an industrial standard compliant model based on monorail standards.

Adapting Retail Practices to the Post-Pandemic

We will work with Alimentation Couche-Tard (ACT) to adapt retail practices to the post-pandemic world. Consumer behaviour has dramatically evolved due to the recent COVID-19 pandemic. Consumers are spending less time shopping and they aim to minimize physical contact. This shift in purchasing behaviour will generate unique data that may allow us to develop new ways to predict consumer demand. Looking at data before, during, and after the pandemic, we will investigate how to properly adapt some of the existing demand-forecasting methods and tailor these to the new, post-pandemic landscape.

Optimization of organic nutrient solution using ion and bacterial community monitoring for plant oil production

Organic nutrient use in hydroponic solution increases the sustainability of these systems by using waste. These solutions can be adequately reused if real-time nutrient concentration calculation is made with the use of electrodes. With the use of Ion Specific Electrodes (ISE), the relative absence or presence of an element can be calculated in real time. Theoretically, the use of these organic nutrient solutions could prove to be superior than inorganic solution for yield because of the microbiome.

Automatic Question-Answer Generation from Educational Texts

As online educational platforms and blogs such as Coursera, Edublog, Korbit Technologies Inc. etc. are becoming increasingly popular, a great way for students to learn is to solve QA problems on educational texts. Students also learn by getting answers to their questions. Since manual QA generation of huge content of educational texts seems impracticable, an important research goal is to create natural question-answer generation systems from reading comprehension materials. Neural sequential models (e.g.

COVID19 tools to enable contact free advanced microscopy, remote training and technical support while maintaining physical distancing

After complete shutdown, gradual return of research productivity needs to be maximized while still maintaining safe working conditions and minimizing the potential for transmission of the coronavirus. The gold standard of advanced microscopy is to provide access to key infrastructure which should also include advanced research support from microscopy specialists. In order to use the infrastructure to its full potential, researchers require in- depth ongoing support from expert microscopy specialists.

An automated manufacturability analysis system

Currently, the service provided by GRAD4 allows buyers to upload their designs for quotes from the suppliers. However, there is no initial manufacturability check for buyers to evaluate their parts before submitting their quotes. Buyers may get feedback from the suppliers, which indicates that their parts are not able to be manufacturable after a several-days waiting period. In order to reduce the time waste of the communication between the buyers and suppliers and speed up the order process, an initial manufacturability checker is in demand.