The increased demand for reliable and useful human resource information has pushed the subject to the top of the practitioners’ agenda. Accordingly, human resource and capital management is also one of Scotiabank’s core priorities. As an ever-growing multinational company that employs a large number of employees, human resource information reporting is a vital service for […]

Bitcoin! Ethereum! Blockchain! In the past year, these words made headline news globally. The promise of blockchain, or decentralized ledger-based technologies, it has electrified the world and created an excitement for technology that was last seen in the 1990s when the internet was entering mainstream. The core premise of the technology is that blockchains are […]

This proposed research will create a modem internal licensing database management system, which will be developed at Side Effects. The main objectives of this applied research are (1) manage customer and license information; (2) ensure the security of the system; (3) test the application efficiently and automatically; (4) generate a useful report based on the […]

Disabilities secondary to traumatic brain injury are a major source of burden. Specifically, patients in Ontario seeking tertiary care for persisting symptoms following mild traumatic brain injury (mTBI) result in health costs of over $110 million annually (Hunt et al). Numerous treatments have been utilized and studied in an attempt to treat persistent postconcussive symptoms. […]

Children and youth flourish in environments that are predictable, safe, and structured. However, this is not the case for many kids in Canada. The COVID-19 pandemic has disrupted these protective factors and exacerbated risk factors. Against this background, the first objective of this study is to explore the present threats facing children and youth in […]

Streaming video applications in the home (video doorbells, security cameras, babycams, robot vacuums etc.) have started to become commonplace. Automatically detecting events of interest in such video streams can help to reduce manual effort from users in sifting through false alarms, enhance user safety, comfort and satisfaction, as well as enable new applications in areas […]

Multi-stream execution is a technique in GPUs that allows multiple operations/kernels from the same program to effectively use GPUs without explicitly stating the affinity of threads to the cores. Several recent optimizations in Machine Learning (ML) algorithms leverage multi-stream execution. While performance modeling of ML applications is well studied under single-stream execution, performance models of […]

At St. Michael’s Hospital (SMH), having insight into patient flow throughout the hospital is essential to resource planning and operational efficiency. When patients are admitted, discharged, or transferred in the hospital, several actions need to be taken to ensure patients receive timely care and resources do not become backlogged. Improving patient flow reduces wait times, […]

The constrained vehicle routing problem is a typical optimization problem with many real-life applications, such as last-mile route planning for delivery services. The goal is to find the optimal routes for a set of vehicles to deliver all the packages, such that the time and cost of delivery is minimized, sometimes with additional constraints such […]

The intern will first determine which one of the two modules in the Ubiquity product is more likely to be improved using the machine learning and deep learning methods, and then implement the proposed method or research on other methods. To improve the sensitivity of the pricing and promotion module towards the small price changes, […]

Organizations across various industries struggle to deliver personalized offerings and expanded access for target populations. Developing sub-population profiles will help identify priority sub-populations with the greatest potential to benefit from personalized support and intervention, and inform the development, targeting and delivery of personalized offerings. The objective of this research project is to enhance Deloitte’s Market […]

Traditional 3D reverse-engineering and prototyping involves 3D modeling and manual parts recognition. With the advent of 3D scanning technologies, it becomes possible to automate this workflow. This research internship aims at creating a novel mechanism to automate the process of assembly recognition, as part of a new workflow of 3D interactive prototyping. The research will […]