Model-Based Security Compliance-By-Design for Low-Earth Orbit Satellite Operations Segments

Low-earth orbit (LEO) satellite constellations require high levels of security and resilience to provide high quality, reliable and trustworthy global connectivity services to customers. For these systems to develop customer trust and find widespread use, developers must demonstrate compliance to a variety of security standards, policies, and regulations. However, because these systems are very large […]

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Improving Emotion Regulation and Executive Functions in Adolescents using Mindfulness-based Martial Arts

The intern will play an integral role in the completion of a pilot treatment study to explore the feasibility and sensitivity of neurobiological measures to explore brain-based changes in emotion regulation and executive functions (e.g., impulse control) associated with participation in Mindfulness Martial Arts (MMA). MMA is a treatment program developed at Integra that integrates […]

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Weakly supervised representation learning for sequential and composite actions.

Camera enabled AI-based personal assistants will need to recognize human actions in order to be safe and effective. Current machine learning approaches for action recognition require extensive datasets of annotated videos that depicting the actions to be recognized. Such datasets are expensive to acquire. The goal of this project is to decrease the annotation required […]

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Building Performance Evaluation of Leading Energy Efficient Homes in Southern Ontario

The focus of this project is on building performance evaluation (BPE) in residential houses in Southern Ontario. Eight green homes will undergo BPE to see how well they are performing. The project will compare current building performance to the designed building performance. This comparison can help to see whether a “performance gap” exists. A performance […]

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CASI Platform, Environment pillar: Benchmarking the environmental and climate performance of Canadian Agriculture

By 2050, agri-food systems must produce enough to feed 9 to billion people, while reversing trends of environmental degradation caused in part by agriculture production. This is no small task, and underscores why countless sustainable agriculture standards, certifications, initiatives and platforms have emerged to encourage and measure the impacts of sustainable agriculture practices. While these […]

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Project Manager at Core Civil Constructions

The proposed research project focusses towards developing and implementing a method to incorporate a company-specific safety program by incorporating the government-specified guidelines and working through the parameters of the program. The Government of Canada has recently released an enormous amount of data in lines with the safety measures, which needs to be evaluated and extensively […]

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Connected Canadians Outreach & Partnership Coordinator

During COVID-19 Connected Canadians has expanded its programs to serve seniors in a variety of different ways, including helping to reduce isolation and loneliness amongst the senior population. Research will be done to analyze any operational inefficiencies and weaknesses that may be present and create a strategy to best address them. Connected Canadians is growing […]

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Obfuscation and Homomorphic Encryption in the Quantum Setting

Our research goals, which are a mix of theoretical and practical problems, are motivated by the practical near-term problem of delegating tasks to an untrusted remote quantum computer in a secure way. Toward this, we consider the notions of indistinguishability obfuscation for quantum circuits and quantum fully homomorphic encryption schemes. The former refers to algorithms […]

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Advanced Text Clustering Algorithm for Aircraft Applications

CaseBank provides a service called ChronicX™ to the airline industry for the purpose of detecting and managing repeat defects, i.e. faults that have eluded resolution repeatedly. Each night, airlines upload their raw maintenance records to the CaseBank server. ChronicX applies text mining methods to eliminate irrelevant records, and search for defects that are repeat occurrences […]

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Efficient Learning Methods for Multimodal Understanding

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]

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