Tracking community movements through real-time visualization and predictive analytics to manage the spread of COVID-19

As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, […]

Read More
Develop a web based geospatial artificial intelligence framework to track, visualize, analyze, model, and predict infectious disease spread in real-time.

As location is an integral part of both population and individual health, there is an emerging role for geospatial artificial intelligence (GeoAI) technology in health and healthcare. Novel infectious diseases such as COVID-19 are associated with population density, environmental factors, and interactions between humans and wildlife. GeoAI technology can be used to collect and analyze […]

Read More
Semi and weakly supervised clinical data labelling for deep learning NLP

We are building a machine learning algorithm to be able to better understand the messy clinical notes that doctors write on patients and to automatically structure them. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how […]

Read More
COVID19 and Disclosure of Risk in Energy Exposed Sectors

COVID19 has accelerated shifts in the global energy market such that energy companies and banks may be impacted in the medium to long term. At the same time, the decarbonization of the world’s highest carbon sectors present opportunities for alternative energy carriers. For investors and policy makers it is important to understand the scope and […]

Read More
Detection of PPE in healthcare settings using machine learning

We propose utilizing real-time image detection of humans (visitors and healthcare workers) using personal protective equipment (I.e. masks, gloves, and gowns) in healthcare settings. This system would ensure proper compliance of PPE use to reduce the transmission COVID and other healthcare based infections, thereby saving lives, reducing hospital stays and costs. This builds off literature […]

Read More
AI-enhanced lung ultrasound to detect lung involvement in COVID-19

The COVID-19 virus causing the current pandemic leads to severe illness and death when it involves the lungs. This occurs in a way that conventional X-Rays often cannot show. Experience in other countries and with a similar condition known as ARDS suggests that lung ultrasound can accurately detect COVID-19 lung involvement. Lung ultrasound is harmless […]

Read More
COVID-19 : module pharmaceutique pour le développement accéléré de produits désinfectants

Galenit est une plateforme de formulation qui facilite le développement de produits de santé. Dans le cadre de ce projet, Galenit souhaite développer sa plateforme afin d’y intégrer l’aide à la formulation de produits désinfectants. Ce nouveau module permettra de développer plus rapidement de nouveaux produits désinfectants à usage topique pour répondre à la pénurie […]

Read More
Artificial Intelligence-based COVID-19 Radiology Image Analytics and Beyond

The excessive daily requirement for COVID-19 tests has put the healthcare providers in an overwhelming circumstance, especially in rural communities, with a limited number of resources. Moreover, the existing COVID-19 screening technique is time-consuming and expensive, which can be a luxury for many communities. Thus, in this research project, in collaboration with the TBRHRI, we […]

Read More
Reinforcement learning for eco-efficient comminution circuit characterization

Comminution, the process of crushing and grinding rock to a reduced size as part of the process of liberating valuable minerals, has been reported to be responsible for up to 4% of the world energy consumption [Environment and Climate Change Canada, 2017]. Designing for reduced carbon footprint and energy consumption is possible. Several study cases […]

Read More
Radiation Mapping from Aerial Data

The proposed project is focused on the development of software for accurate mapping of radiation levels on the ground using aircraft or unmanned aerial vehicles (UAV) for data collection. The problem of accurate radiation mapping is crucial for handling emergency radiological incidents (e.g., on nuclear plants), monitoring national borders, operating nuclear mine sites, etc. The […]

Read More
COVID19 viral genome sequence analysis to track viral transmission, to understand evolution of viral genome, to develop novel diagnostic tools as well as to identify novel therapeutic targets

A comprehensive genomic study for the virus SAR-Cov-2 itself and COVID-19 patient samples will be studies analyzed to understand the nature of the virus developments, and to find genomic biomarkers that helps in diagnosing and the treatment of the disease. We will try to understand the molecular network of the virus in the body and […]

Read More