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This research project addresses a common problem in studying medical data: understanding the true effects of different treatments when the data is not from a controlled experiment. Specifically, we are looking at patients with systemic lupus erythematosus (SLE) and the number of infections they get. Often, traditional methods need special, hard-to-find data to ensure accurate […]

Combination therapy has been one of the cornerstones for combating cancers. Even though the survival rate of cancer patients after receiving combination therapy is improved dramatically, there are still many unsolved issues to prevent us from claiming combination therapy is a cure for cancers. Those issues include it does not apply to all types of […]

Quantum computers promise significant advantages in solving complex problems currently intractable for classical computers by leveraging principles of quantum physics such as superposition, entanglement, and tunneling to perform operations on data. One well-known approach to quantum computation is quantum annealing, pioneered by D-Wave Systems Inc., which develops quantum annealing processors to tackle optimization and sampling […]

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

The following proposal aims to research and develop Net Zero Carbon sustainable design strategies for a chalet, serving as a pioneering study to inform broader net-zero carbon residential developments in Montreal. It is motivated by Canada’s goal of achieving net-zero greenhouse gas emissions by 2050. One intern will work with PLAPROS INC., under the supervision […]

The proposed research project aims to develop accurate and user-friendly models to forecast daily streamflow for the Oldman River in Alberta. This project will involve using advanced machine learning methods, such as Artificial Neural Networks (ANNs), Extreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM), to improve the reliability of streamflow predictions. By enhancing the […]

Buildings globally play a substantial role in energy consumption, representing more than 30% of the total energy demand. However, this energy usage is hindered by a lack of efficiency in HVAC systems, insufficient insulation, and the continuous need for fresh air, resulting in approximately 30% of this energy being wasted. Energy Recovery Ventilators (ERVs) play […]

Imaginez un monde dans lequel vous seriez les acteurs du contenu audiovisuel. Un monde dans lequel votre avis aurait un réel impact sur vos émissions préférées. Ce projet va dans ce sens puisqu’il tente de créer une réelle connexion entre les diffuseurs et les téléspectateurs. L’interactivité est donc de mise, tentant de mettre l’utilisateur au […]

The widespread use of renewable energy sources requires inverters to connect to the grid for enhanced control and operational flexibilities of the system. However, these “inverter-based resources” (IBRs) can sometimes cause unstable interactions with the grid which necessitate prior detailed simulation studies. Detailed Electro-Magnetic Transient (EMT) simulations are essential for these IBRs due to their […]

C-CORE and Memorial University have teamed to supervised the development of a 3U CubeSat called MUNStar-1. The CubeSat is an earth observation satellite containing a scientific payload for the measurement of Global Navigation Satellite System (GNSS) Reflectometry (GNSS-R) signals. The satellite will measure a number of ocean parameters to help understand climate change impacts, particularly […]

This project aims to design, prototype, and characterize high-speed electronic circuit boards to enhance quantum photonic networking systems. In particular, it aims to meet the strict, emerging demands of quantum telecommunications with high-speed, low-jitter, low-phase noise electronics working at the performance limits of mass-producible electronics. Ki3 Photonics specializes in developing state-of-the-art systems for quantum networking, […]