Reward circuits neuroprosthesis to shape movement execution

Most neurotraumas affecting the control of movements are partial, allowing some recovery of movement with time and rehabilitation. Motivation and persistence through this difficult process are crucial in mediating rehabilitation-dependent recovery, but are negatively affected by the physical and psychological challenges that accompany neurotrauma. We know that the reward network of the brain is involved […]

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Analysis of the error propagation dynamics of PIV-pressure

This study aims to analyze the dynamics of error propagation in the PIV-pressure analysis and suggests two approaches: I) a formal analysis and II) corresponding algorithms for optimal sensor placement that minimize the error propagation from the measured data to the computed pressure field. By analyzing the Poisson problem together with boundary conditions, the optimal […]

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Detecting Phishing Websites using Machine Learning Techniques

The project “Detecting Phishing Websites using Machine Learning Techniques” aims to develop a method that can accurately identify and block malicious websites. Machine Learning algorithms will be used to analyze various website features, such as URL, page content, rank and other indicators to determine if it is a phishing site or not. By identifying and […]

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Data-Driven and Synthesis-Guided Generalization in CHC-Solving

The intern will be working on a research project aimed improving scalability and applicability of automated reasoning tool called SPACER by improving the way it deals with special data types. Overall, the goal of this project is to make SPACER a more effective and reliable tool for verifying program correctness.

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Individual problem solving: experiments on open-ended problems

Open-ended problem solving plays an important role in industrial innovation, product development, strategy formulation, and many other applications. The study will use experimental methods to investigate the behaviour of individuals while solving open-ended problems, and will entail the gathering and analysis of both qualitative and quantitative data. Individual problem-solving tasks will be given to participants […]

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Building and testing a simulator of human-computer interface for small modular nuclear reactors

The project is dedicated to the explore how the effective interface for a small modular nuclear reactor should look considering human factors and current digital technology design trends. The research will review the significance and application of modern human-computer interaction techniques to ensure a better user experience and to achieve substantial safety and operational benefits […]

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Novel one-dimensional linkers for advanced inorganic polymers

Modern society heavily relies upon synthetic polymers, mainly based on carbon-based backbones and thus linked to a fossil-based industry. Polymers with non-carbon elements in there main chain are rather uncommon. Only polysiloxanes, known as silicones and polyphosphazenes have industrial and societal relevance. This project aims to investigate whether novel one-dimensional P,N-based polymers can be accessed […]

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Advancing Generative Models for Vision and Language: A Collaborative Study with ServiceNow Research and ÉTS Montréal

This research project, a collaboration between ServiceNow and ÉTS Montréal, aims to improve generative AI (e.g. artificial intelligence models that learn to generate data), which can impact various creative and knowledge-based industries like graphic design, content creation, and research. The project aims to create advanced generative models that can generate a variety of data types, […]

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Estimating Sugarcane Maturity Using Remote Sensing Techniques

Sugarcane is native to the warm temperate, tropical regions of the world and is highly weather dependent. Recent climate change has hampered its growth, resulting in reduced yields, forcing farmer to adapt different practices in Costa Rica. There are four main phenological and development stages in Sugarcane. This project is focused on the maturation process […]

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Analyzing Winter Wheat Growth Pattern using Remote Sensing.

The proposed research project focuses on improving winter wheat production in Northwestern Ontario, a region with a short growing season and unpredictable climate. Farmers must select optimal planting dates for winter wheat for maximum production and it is challenging due to the number of growing days and planting depth before winter. Hence, the project aims […]

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Learning causal world models at scale

In order to navigate the world, an autonomous agent must build a causal model to understand the effects of its actions. In many tasks (automated car driving, automated medicine), collecting causal data, by performing arbitrary actions for the sake of measuring their effect (interventions), can be impractical, expensive and even unethical. On the other hand, […]

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The Influence of Compression Garments on Running Biomechanics & Soft-Tissue Vibrations in Female Athletes

This proposed research project will be performed to understand the influence of female apparel on running biomechanics, soft tissue vibrations, and responses to neuromuscular fatigue in prolonged running. There is an emerging and growing need in sporting goods research and development departments to study female-specific running patterns in order to create products that ensure comfort, […]

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