The Growth Monitoring Sustainability Scholar will support the Urban Growth Monitoring and Analysis Team as it implements growth monitoring renewal through The City Plan. This Project includes evaluating, analyzing, and reporting on several sustainability factors related to urban growth in Edmonton, including neighbourhood growth sustainability modelling using tax revenue and servicing costs data to analyze […]

This project focuses on developing UW InsureTech’s deep learning product to help the broker to optimize their current clients’ group and also help them to predict the potential risk and cost-benefit values. This service will help brokers to give better service to their target customers, monitoring the risks involved. Brokers can do more upsell and […]

Ventilation-perfusion (V/Q) scintigraphy has a major role to play in the diagnosis of pulmonary embolism (PE). V/Q scintigraphy rather helps infer the presence of PE based on compromised perfusion of the occluded segmental and sub-segmental pulmonary arteries. Therefore, expert knowledge of the bronchopulmonary segmental anatomy on the various 2D planar projections of the lung and […]

With the increasing popularity of Internet, online advertising becomes a new marketing opportunity by instant globally advertisements (ads). At the basis, the process of online advertising can be considered as a buyer/seller relationship, where the two of the key participants are publishers (i.e. seller) and advertisers (i.e. buyer). Publishers make money through hosting websites with […]

Le but de ce projet est la création d’un outil permettant d’évaluer automatiquement le niveau de maitrise d’une deuxième langue via l’utilisation de l’intelligence artificielle. L’intégration de l’intelligence artificielle dans un pro-cessus d’évaluation permet de réduire les aspects humains de la prise de décision. En effet, le jugement d’une personne peut être affecté par différent […]

Through the integration of geocomputation approaches, Geospatial Artificial Intelligence (GeoAI) and Geographic Information Science (GIScience), this research project will contribute to the development of modeling and simulation approaches that will allow Nectar to understand the key interactions within the bee-human system (beekeeping). Leveraging the technological tool developed by Nectar, called BeeTrack, the overall aim of […]

This project will help to design and develop the user interface and an image picture archiving and communication system (PACS) for mobile teledermatology for use in an application of skin imaging. This will enable both patients and specialists to acquire, archive and manage dermatological images for further diagnosis, triage and follow-up purposes. The project goals […]

The organization and control of swarm systems have been either completely decentralized where all the robots use only local observation and simple rules for coordination and cooperation which leads to emergent behavior. There are advantages to using this decentralized paradigm such as redundancy, scalability, and simplicity, but such systems tend to be slow and difficult […]

Numerous Machine Learning (ML) tasks are forecasting problems, used to make downstream decisions. Acting on ML forecasts however can changes the distribution of observations relevant to the forecast. The implication is downstream decision optimization procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often not the case, and […]

Tensor networks are a quantum inspired technique that provide useful mechanisms for solving hard problems, usually in the realm of quantum mechanics and many-body systems, through the manipulation and operation of tensors. The main challenge underlying this project is the productionalization of a quantum-inspired deep learning algorithm which currently exists as a proof of concept […]

Making future projections about quantities of interest is a key component of decision-making, which has broad applications. For instance, in healthcare, one may be interested in monitoring the severity level of a disease given a treatment plan, while carefully accounting for potential sources of uncertainty. Alternatively, one may be interested in predicting the occupancy level […]

Eight out of 10 people use the web to find health information, so online health information for the public must be reliable and trustworthy. The“Infodemic” of misinformation (which includes disinformation), is a term coined by the World Health Organization to show the magnitude of the problem and its ‘contagion’, that makes it difficult for the […]