This project aims to solve the problem of how to accurately locate and orient a drone inside a hangar to acquire still images and/or video. The images and/or video will be used in conjunction with an AI/ML algorithm to efficiently identify aircraft defects. The drone-based approach to defect detection will be compared to traditional techniques […]

This project will give the intern the opportunity to explore the current state of the educational support network within Asian academia, which complements the intern’s knowledge and experience on the equivalent in Canada. By analyzing the new digital resources in terms of their purposes, impact and development processes, the intern will provide the organization with […]

The proposed project will have the intern contributing to software development on three core projects: Development of an autofocus system that can be integrated with mechanical control of the microscope objective/stage, improving the image processing pipeline through refinements to database integration and UI/UX, and improvements to experiment flow/reporting by integrating report templates into the reporting […]

One of the main issues with many quantum computing platforms is that not all quantum bits (qubits) can interact directly. This results in an overhead in the number of operations required to run an algorithm and ultimately in longer run times that can become prohibitive. Entangled Networks is currently developing hardware and software solutions to […]

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, […]

Throughout the COVID-19 pandemic, there has been an emerging need of using new advances in information and communication technologies (ICT) to improve our healthcare system to manage a massive influx of patients. Indoor geolocation techniques and optimized traffic management algorithms are substantial for serving a large number of patients in healthcare centers while respecting procedures […]

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 […]