Rostock-Ottawa

The project focuses on developing machine learning (ML) techniques to improve quantum tomography and control, specifically addressing scalability issues in large quantum systems. By collaborating with experts in photonics and quantum machine learning from both the University of Ottawa and the University of Rostock, the project aims to create more efficient quantum state reconstruction methods, […]

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Ethics Bowl Canada: Bilingual coordinator position

Ethics Bowl Canada (EBC) is a not-for-profit that operates exclusively for the advancement of education. It’s purposes include (a) promoting and developing the teaching of critical thinking to the public in a way that is compatible with the standards of excellence of academia and (b) advancing education by providing a public forum for students and […]

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Development of an instant product and 3D food printed snack from traditional and novel-processed food sources (finger millet, edible cricket, and spekboom plant leaves)

Zamancwane Mahlanza is a PhD student at the University of Johannesburg, South Africa under Professor Oluwafemi Adebo’s main supervision. Zamancwane’s research focuses on the development of conventional nutritious instant and 3D food products from traditional and novel processed foods (finger millet, edible insects and wild edible plants).

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Integration of Generative AI into AI-native services in next generation networks

The project aims to innovate by applying generative AI to network infrastructure, focusing on the development of models that can autonomously design network topologies, anticipate traffic patterns, and simulate various scenarios to proactively address potential issues. This collaboration will blend Nokia’s technological strength with the University of Ottawa’s leading research to create AI-driven network solutions. […]

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Business Analysis for Advocacy-focused, AI-Enabled, Stakeholder Relationship Management System

Legislation is a messy process, with important information generally not available to all stakeholders, a number of critical influencers and processes that are manual, and indeed “heroic” efforts required to get anything significant done. Gnowit (the partner organization) makes this much easier by tracking millions of sources of policy, legislative, regulatory and media information and […]

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L’insécurité linguistique chez des enseignant.e.s de français langue seconde et étrangère: une étude comparative Brésil-Canada

Si la recherche est abondante à étudier l’insécurité linguistique chez les locuteurs ayant le français comme langue maternelle, moins nombreuses sont les études intéressées au phénomène chez les locuteurs de français langue seconde et étrangère (FLSE) et particulièrement chez les enseignants de FLSE. Pourtant, quelques études suggèrent que ceux-ci subissent de l’insécurité linguistique en raison […]

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The development of psychological assessments using robot-based tools to improve characterization of psychological function

The proposed research project will focus on the development of novel techniques to improve the assessment of psychological functions. Current psychological tests are limited in their ability to provide quantitative information on an individual’s ability to move and interact with their environment. Many psychological tests are computer-based systems that have been developed to assess psychological […]

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Simulation et caractérisation de phototransducteurs a basse température pour application spatiale

La recharge de batterie ou encore l’alimentation continue d’appareils/engins sans fils et éloignés de toute source électrique ou solaire, comme dans le cas d’applications dans le domaine spatial, sont de véritables défis. L’usage couplé d’un émetteur laser et d’un photo-transducteur (PPC) pour transférer de la puissance sur de longues distances est une solution potentielle intéressante. […]

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Enhancing Kinematic Parameter Estimation of Rockets through Sensor Fusion and Networked Measurement Systems

The project determines the limitation boundaries of single sensor measurements by assessing the accuracy of a rocket’s kinematic parameters—such as speed, turn rate, and acceleration—based on the precision of individual sensor measurements. This involves evaluating whether these parameters can be accurately measured or estimated using each available sensor while considering the rocket’s dynamic behavior. Additionally, […]

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Suppression of self-biased phototransistor effect in InP-based photonic modulators

The project relates to a key electro-optic component used in optical modems that route internet traffic between cities, countries, and continents. These high-bandwidth long-haul systems are also being evaluated to solve the problem of moving data between data centers and even within data centers for high-bandwidth applications such as cloud services and artificial intelligence. The […]

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Targeting mitochondrial quality control to improve muscle stem cell function and tissue regeneration

Dysfunction of mitochondria, the cellular powerhouses, plays an important role in a plethora human disorders, including rare genetic myopathies such as Duchenne Muscular Dystrophy (DMD). Mitochondrial dysfunction also causes stem cell abnormalities in several tissues including skeletal muscle. For this reason, modulation of mitochondrial quality is increasingly proposed as a therapeutic strategy to prevent/restore cellular […]

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Development of a robust, low-complexity infant cry classification system

This proposal aims to develop a robust, low complexity infant cry deep learning classification based on various babies’ responses to physiological needs such as hunger or to discomfort and pain. The significance of this research lies in its potential to enhance early detection of needs and moods in newborns, contributing to improved infant care, early […]

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