The demand for higher bandwidth and ultra-lower latency has increased due to the rise of wireless devices. To meet these challenges, fifth generation (5G) new radio (NR) offers enhanced bandwidths with higher data rates and ultra-lower latency for real-time applications. The ultra-dense networks in 5G NR can improve the coverage. However, it can cause problem […]

Earthquakes are very common in Canada as more than 4000 seismic activities get recorded every year. Apart from all the seismic activities, over 1200 earthquakes get recorded in B.C. Natural Resources Canada report indicates that, there is 30% possibility that B.C. will experience a very high risk earthquake in next 50 years. Ottawa, Montreal and […]

Le génie cognitique allie des connaissances provenant de divers champs dont l’informatique, la robotique et les sciences humaines au sens large. Il s’intéresse particulièrement à l’interface et l’intégration entre l’humain et les diverses technologies qui peuvent améliorer son accès à l’information ou ses capacités. Le programme de psychiatrie neurodéveloppementale (PPNA) offre du support aux personnes […]

This project in collaboration with Oxford University focuses on improving how robots work together through coarse Collaborative Simultaneous Localization and Mapping (SLAM). SLAM technology is crucial for autonomous navigation, allowing robots to map and understand their surroundings while providing real-time localization estimates. The coarse approach we aim to develop would simplify how robots map their […]

We propose a semi-automated brain lesions segmentation method utilizing deep learning techniques and point prompting such as foundation models (SAM). This developed approach aims to assist physicians in the follow-up of multiple sclerosis disease at different stages, enhancing the likelihood of successful treatment for patients. The key contribution of this research lies in the advancement […]

Le but du projet proposé consiste à développer des méthodes de détection des anomalies des mesures de températures et de précipitations enregistrées de façon automatique par les réseaux des membres de Solutions Mesonet. Les méthodes de détection qui seront proposées seront basées sur l’apprentissage automatique et plus particulièrement sur des modèlesstatistique spatio-temporels. Ces modèles permettront […]

The overarching goal of the Globalink research project is to gain a comprehensive understanding of the 1991 Soviet coup attempt by delving into the motivations, strategic decisions, and enduring implications of this pivotal event. The central research question guiding this endeavor will have answers to such questions: What were the underlying motivations and strategic decisions […]

The proposed research project at the Turak Functional Nanomaterials Research group at Concordia aims to enhance the efficiency of solar energy data measurement and analysis from emerging solar cell technologies. In a world increasingly focused on sustainable energy sources, efficient utilization of solar power is paramount. The lab manages vast data, including complex images of […]

This project, as part of an ongoing collaboration between the University of Calgary (UCalgary) and École Nationale Supérieure d’Arts et Métiers (ENSAM), is dedicated to validating a trust model developed from a Ph.D. thesis work. The trust model serves to describe the effectiveness of human-machine collaboration in various tasks. By creating a real-world case for […]

Speech sound disorders (SSDs) are an umbrella term for a range of speech difficulties characterised by a constellation of deficits. Identifying SSD subtypes can be supported by objectively analysing the child’s speech and facial movement patterns (kinematics). However, these movements can only be precisely and specifically measured using specialised instrumentation and software limited to the […]

Taking Mongolian-English code-switching as an entry point, this research will adopts quantitative linguistic approach, attempts to study the syntactic features of Mongolian-English code-switching based on Recursive Object Model (ROM).

The project’s goal is to find out if the network size estimator L-OCI, designed for direct-to satellite Internet of Things LoRa based scenarios, can be extended and/or adapted to work based on LR-FHSS. We want to see if they can handle many devices, and whether this combination is good or bad for a specific problem. […]