In today’s world, the video chat and conferencing has been a necessary part of overall routine life (both personal and work). Currently, the video chat and broadcast technologies require lots of bandwidth to transmit high quality data. In overall project, we aim to make video transmission data intelligent by using the state-of-the-art AI technology. This […]

Ce projet de recherche vise à concevoir un modèle de prévention du COVID-19 basé sur les techniques d’Intelligence Artificielle (IA) et de l’internet des objets (IoT). Les données physiologiques seront obtenues des dispositifs intelligents et des bases de données virtuelles. Ces systèmes serviront pour le développement d’un outil de mesure et d’observance des indicateurs chez […]

Understanding pedestrian dynamics is crucial to the design of pedestrian facilities. Although pedestrian flows are part of everyday life, many basic characteristics of pedestrian dynamics cannot yet be described in detail. The aim of the PhD project is to study the upper body rotation of pedestrians when crossing a narrow passage (bottleneck). Since the movement […]

At a high level, the goal of this project is to create a system for producing synthetic datasets based on real data. As a large financial crime detection firm, Verafin deals with large volumes of sensitive data which must be kept private, however they are also interested in collaborating with academics to gain new insights […]

Medical devices, like other computer systems, can be vulnerable to security breaches, potentially impacting the safety and effectiveness of the devices. Left unmitigated, these vulnerabilities could allow unauthorized users to access, control, and issue commands to compromised devices, potentially leading to patient harm, identity theft, ransomware, and other illicit activities on patients’ accounts. However, security […]

Understanding and predicting brain activity is the main objective of computational neuroscience. Neuronal cells are the building blocks of the brain and responsible for electrical signaling and cognitive ability. Recent studies indicate that another cell type, called astrocyte, plays an important role as well. These cells have been proposed to interact with neurons and modulate […]

The project investigates the transformation of anonymity in times of networked-data by looking into the history of urban neighborhood design and its relation to neighborhood-related machine learning algorithms, such as k-nearest-neighbor (KNN). This method analyzes behavioral patterns to form groups (neighborhoods) of actors with the same characteristics (neighbors). This groupingis then deployed to understand and […]

Barriers to mental health care include distance, cost, wait times and more (Moroz, Moroz & D’Angelo, 2020). Canadian mental health systems are also becoming increasingly burdened with demand. To prevent ever-increasing wait list times, mental health care systems require a focus on preventative care. A stronger prevention system, one that supports Canadians so they learn […]

The Mitacs intern will support the community-based project Direct[Message] to develop and undertake research to develop a final technology-based model that will help older adults connect with arts online. The intern will assist in the data collection and analysis of 30 older adult participants’ experiences using and testing an easy-to-use keyboard prototype and an accessible […]

The proposed research is to develop a method for making valid, representative estimates of public opinion from sufficiently large and diverse non-probability samples such as social media data. We aim to demonstrate the theoretical, methodological, and practical contributions to the field of public opinion research by demonstrating the reliability and utility of this method in […]

This research will determine which combinations of metrics sets and machine learning algorithms provide the most accurate outcomes when analyzing the data produced in the CSE-IDC-IDS2018 dataset.

Anessa is developing software that assesses the feasibility of an anaerobic digestion facility at the earliest stages when trying to determine if a facility should be constructed. The challenge is that little information is fully known and there are a lot of factors that can affect the outcome to be positive or negative in the […]