Setpoint attacks detection in cyber-physical systems: experimental validation using unmanned vehicles

he objective of this project is to investigate, theoretically and experimentally, the problem of detecting setpoint (reference) cyber-attacks against Cyber-Physical Systems (CPSs). In the first phase of the project, the student (Mattia Cersullo) will develop a novel setpoint attack detection and mitigation scheme based on a supervisory control scheme known as the Command Governor (CG). […]

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Addressing the best strategies for Yukon non-profit organizations to mitigate the impact of COVID-19, and move forward toward recovery, resilience, and innovation.

Covid-19 has already changed how we see the world, the ways in which we think, and how we conduct our lives. The consequences of this pandemic are personal, emotional, psychological, societal, economic, and cultural; and it will leave scars. For nonprofit organizations, however, this is mostly about employee’s mental health, and significant loss of earned […]

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Test Automation with TTCN-3

Development of an Avionics system test methodology, based on the Test and Test Control Notation (TTCN-3). This will include (1) a gap analysis between TTCN-3 and current avionics test languages and environments and (2) a large scale case study. Of particular interest, will be the ability to model and verify both continuous control and discrete […]

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Optimizing return on investment using artificial intelligence: A recommendation system-based solution

The main goal of this project is to develop an artificial intelligence based approach for recommendation to improve Videotron marketing solutions. We aim to focus on improving Vidéotron return on investment (ROI), engaging more users and retaining subscribers using advanced artificial intelligence techniques. The proposed system will be based on a collaborative filtering technique that […]

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Development of a High-Fidelity Motion Cueing Algorithm for TMotion

High-level control strategies, commonly referred to as Motion Cueing Algorithms (MCA), are used to create realistic perception of unrestricted 6 degrees-of-freedom (DoF) motion with a motion platform that has fewer DoF and a limited workspace. For instance, such an algorithm would tilt the platform towards back to emulate forward acceleration on a platform that does […]

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Hypothesis transfer in medical image analysis

Recent years have seen a wealth of clinical evidence accumulate in favor of the radiomics hypothesis, wherein standard-issue oncological medical images, such as CTs, PET-CTs and MRIs, exhibit reliable fingerprints of cancer tumor genetic makeup, enabling predictions of patient prognosis, treatment resistance and side effects to be made directly from an analysis of imaging data. […]

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Intelligent Health and Performance Monitoring of Infrastructures

Aging and degradation of infrastructures pose significant safety concerns, especially in light of increased use of these structures. The economic downturn further exacerbates such concerns, especially for critical structures such as bridges, where replacement is infeasible, and maintenance and repair are expensive. The significance of implementing long-term structural health monitoring systems for large-scale bridges, in […]

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lnfluence of odour presentation on panelist response variability

Olfactometry is the science of using human subjects to measure odours without bias, as no instrument yet can replace the human nose. Recently, the method presenting odours to panellists has been identified as a potential element affecting response and measurement variability. Furthermore, the sensitivity of electronic noses also developed to measure odours remains an issue. […]

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Machine Learning for the Discovery of Metal–Organic Frameworks for Hydrogen Storage Applications

Metal–organic frameworks (MOFs) are a class of crystalline materials with ultrahigh porosity, and high surface areas. With these properties, along with variability for both the organic and inorganic components of their structures, MOFs are of interest for potential applications in clean energy, most significantly as storage media for gases such as hydrogen and methane, and […]

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Investigating Translational Poetics in Canadian Francophone Literatures

This project will shed new light on the interrelations between creative writing and translation in understudied contemporary Canadian Francophone works. Firstly, contemporary Francophone writer-translators of Montréal will be analysed; secondly, interrelations between the aspects of translation in Montréal’s cityscape, soundscape and literatures will be investigated; thirdly, the process of translation will be employed as a […]

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A Social Welfare Maximization Matching Framework for Supplemental Nurse Staffing

The adequacy of hospital nurse staffing in Canada is essential for the delivery of quality health care to Canadians. In light of permanent nursing staff shortage in most of Canadian hospitals, using of supplemental nurses to bolster permanent nursing staff is widespread. Having suitably qualified staff on duty at the right time is a large […]

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