Computational electromagnetics (CEM) is a field of research devoted to simulating the complicated electromagnetic systems foundational in our technology, security, and exploration. Historically, problems have been solved by breaking them into many small pieces that can be solved by a computer; an approach that makes it difficult to solve very complicated problems. Today, a new […]

This project will develop a prototype technology to guide cranes to automatically place building elements using visual reference markers (QR codes). Working with Sparkbird, the R&D arm of WZMH, two interns will develop a software application to estimate the relative positions of the element to be placed with existing elements and the crane, allowing for […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Un défi dans le domaine médical est de pouvoir réparer ou remplacer des organes non fonctionnels. Actuellement la solution à ce problème est la transplantation d’organe entre un donneur et un receveur. Cette solution est fonctionnelle mais pose certains problèmes comme le manque de donneurs et la compatibilité entre donneur/receveur. Une solution à ces problèmes […]

Over 5% people across the world are hard of hearing, and require assistance in navigating public transportation/airports. This project attempts at automated sign language synthesis through a virtual avatar for improving day-to-day life of people with hearing impairment. The industry partner has developed a preliminary framework to conduct animation on virtual avatars to play back […]

We will investigate the skill of using several machine learning techniques to produce long-term (years to decades) forecasts for precipitation. The partner organization provides weather forecasts to a variety of industries and would benefit from more accurate long-term forecasts.

This research is intended to improve community safety and crime prevention in urban and rural Indigenous communities. Currently, community safety encounters numerous pressing Indigenous related challenges such as knowledge gaps concerning factors influencing safety and crime prevention within Indigenous communities, as well as efforts toward decolonizing community safety. This research initiative aims to develop culturally […]

The general objective of this project is to comprehensively investigate the oil adsorption performance of a novel polymer sponge sorbent and understand how the new sorbent and its combination with other technologies can be used for oil spill response. With the increasing need and interests from marine oil spill response organizations for novel technologies that […]

Low intensity pulsed ultrasound (LIPUS) therapy when used in conjunction with clear aligner orthodontic treatment has been shown in clinical studies literature to accelerate orthodontic tooth movement, reduce orthodontically induced tooth root resorption, and shorten the overall duration of orthodontic treatment. In-market use of LIPUS technology as an adjunct the clear aligners has grown significantly […]

A substantial proportion of the lithium used in energy storage and numerous other applications is extracted from naturally occurring continental brines. The recycling of the lithium-ion batteries, which are experiencing a sharp increase in demand, also involves extraction of lithium from solutions containing other battery metals. The proposed research targets the development of sorbents for […]

Generating synthetic data is important for a number of machine learning problems at Mastercard especially in the areas of additional data generation for imbalanced problems, data sharing etc. The data is mostly tabular in nature and a number of techniques exist for generating tabular data in the literature. However most of these techniques do not […]