Effects of Partial Shading on Bifacial Photovoltaic Modules

This research project will analyze the effects of partial shading, which photovoltaic modules are subject to. The objective of this research is to elucidate the mechanisms of degradation of partial shading. Investigations in photovoltaic systems will involve the collection and analysis of production data. Measurements of the individual I-V curve of the modules of a […]

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Asper School of Business MItacs BSI – Delphi Technologies

This project position entails responsibility for promoting and protecting the company’s reputation by developing and executing media relations and public relations strategies and plans for brand building/innovation/corporate promotions, internal communications and corporate communications/corporate affairs initiatives through the use of digital marketing strategies including development and utilization of Facebook, Twitter, YouTube, LinkedIn, etc. in collaboration with […]

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Identification of Polymorphic Malware using Fractal Complexity Analysis

In the proposed collaborative research, the focus will be on the application of fractal complexity analysis in anomaly detection. Many features are hidden deep within time series information such as network traffic, and complexity analysis will facilitate the extraction of such features. Complexity analysis takes advantage of the self-similar structure which is found widely in […]

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Potential of pyrolysis oil from biomass as a source for phenolic resins

Phenolic resin, also known as phenolic formaldehyde resin (PF), is a synthetic resin produced from the polymerization of phenol (an aromatic alcohol derived from benzene) and formaldehyde (a reactive gas derived from methane). Resins have applications from use as laminates to in construction materials such as wood and composite materials. The use of petroleum-based compounds […]

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Accelerating quantum variational methods using Bayesian optimization

Quantum computers hold the capability to solve problems that are out of the computational reach of classical computers. The race to finding and testing such problems on a smaller scale is currently on. Variational methods are one of the candidates leading this race. These methods are hybrid, meaning that they require quantum as well as […]

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Improving Resuscitation Equity using AI

For urgent, life-threatening medical conditions such as cardiac arrest and stroke, treatment is time-sensitive and must be received promptly to maximize the likelihood of patient survival. Previous research has shown that areas with lower socioeconomic status have higher rates of cardiac arrest incidence as well as lower rates of receiving timely treatment and patient survival. […]

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Decryption Failures in a Quantum World

The development of scalable quantum computers threatens the secrecy of communication by breaking classical encryption schemes. In order to ensure long-term security in communication networks quantum-safe cryptography is currently being developed and evaluated in standardization competitions. A special property of many of the proposed cryptosystems is a low but non-zero probability of failure: An encrypted […]

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Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis

Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of […]

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Using Artificial Intelligence to Characterize the Dynamics of Seismic Risk

The Pacific Northwest has the potential to experience large earthquakes (magnitude ~9) along the Cascadia Subduction Zone (CSZ) fault, which is located approximately 120 km off the city of Vancouver. The last CSZ earthquake occurred in 1700, and it is expected to happen every 500 years. An occurrence of this event could lead to large […]

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Caractérisation fonctionnelle et valorisation des peptides de défense des arbres de la famille des Salicacées

L’agriculture moderne recherche des solutions pour diminuer l’utilisation de pesticides chimiques. Dans ce contexte, les acteurs de la recherche et de l’innovation ont un rôle à jouer pour développer des pesticides non-chimiques : les biopesticides. Le projet s’inscrit dans ce contexte, en caractérisant une famille de peptides antimicrobiens (appelés RISPs – Rust Induced Secreted Protein) […]

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La médiation muséale numérique, une dynamique d’intervention favorisant le sentiment d’appartenance sociale.

Encadrée par la Chaire de recherche du Canada en muséologie citoyenne, cette étude vise à comprendre le potentiel et les limites d’une application mobile qui encourage la prise de parole des groupes racisés autour d’objets de la collection ethnographique déployés dans l’aile des Arts du Toute-Monde au Musée des beaux-arts de Montréal. Son originalité repose […]

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Artificial Intelligence for Accelerator Control

TRIUMF accelerator complex enables world class research in fields ranging from nuclear physics to material sciences, life sciences and nuclear medicine offering a major advantage in probing nuclear physics processes and uniquely place TRIUMF as a leader in experiments at the “precision frontier” to address some of the fundamental scientific questions of our time. To […]

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