Applying Machine Learning to Predict Demand Transference

The project will help us design a machine learning model that can determine the demand transference of our customers. The key objective of this project is to design, research, build, and experiment with machine learning models to ensure low product waste and high customer satisfaction. The model will have several impactful applications across the organization.

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Multi-morbidity Characterization and Polypharmacy Side Effect Detection for designing Optimal Personalized Healthcare with Machine Learning

Despite a significant improvement in healthcare systems over the past decades, the rapid growth in the number of patients with multiple chronic diseases – called multimorbidity – stands as a complex challenge to healthcare services that are primarily designed to treat individuals with single conditions. Advances in machine learning as well as in computing power […]

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Development of a numerical model for the simulation of fluidized bed reactors

This project concerns the development of a 3D virtual model of a fluidized bed gasifier reactor. Relying on the so-called CFD-DEM approach and supercomputer technology, the virtual model will allow visualization of the fluid dynamic inside the reactor, highly valuable insight otherwise unreachable by physical mean. This project specifically focus on model calibration and validation […]

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Modélisation d’un pont à thyristors dédié à l’excitation des machines synchrones dans le référentiel qd0

Les systèmes de production d’énergie basés sur l’utilisation de la force hydraulique utilisent une machine synchrone afin de convertir l’énergie mécanique en énergie électrique. Pour que ces machines fonctionnent, il faut fournir une puissance d’excitation sur la partie tournante de la machine (que l’on nomme système d’excitation.) Ce système d’excitation peut produire des courants électriques […]

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Mechanical characterization of phage-coated implants for the prevention and treatment of periprosthetic joint infections in high risk patients

Caused by planktonic and biofilm drug-resistant bacteria on implants, periprosthetic joint infections (PJI) is one of the most devastating complication in orthopedics and is in line with forecasted rise in joint replacement. From the perspectives of patients, surgeons, hospitals, and health care system, PJI thus present a great unmet medical need, resulting in high morbidity, […]

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Assessing the impact of STEM programming on children and youth.

In the twenty-first century, coding literacy provides individuals with a host of useful skills and competencies as well as accompanying psychological benefits. Yet, at present, very few pedagogical models or curricula include coding literacy as a central focus. STEM interventions, often found in after-school care programs and summer camps, help address this gap by offering […]

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LGBTQI2S Seniors’ Safety in Public Services

This project will result in a national environmental scan on LGBTQI2S seniors’ safety in health care, social care and municipal public services. It aims to identify promising policies and practices as well as systemic and structural barriers. It will also include the experiences of LGBTQI2S workers who serve seniors, a largely unexplored area. Egale Canada […]

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Cannabis and Death-Anxiety

In partnership with True North Clinical Research, two studies are proposed to examine the moderating effect of using cannabis on anxiety in response to death-thoughts. In Study 1, participants will be randomly assigned to consume cannabis either before or after thinking about death. Self-reported affect will be assessed to determine if cannabis helps reduce death-anxiety. […]

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Investigate sensors management and fusion algorithms to orchestrate data/information collection from different sensors (with various reliabilities) and in weather-challenging environments

The objective of the internship is to better evaluate/quantify the quality of sources in a challenging weather environment and adapt the behavior of the sensor-fusion algorithm accordingly. For example, if two cameras are mounted on the car, and one is obstructed (or partially obstructed) by snow, second camera should become more reliable in this condition.

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Estimating Battery Key Performance Indicators and Forecasting Battery State-of-Health Using Machine Learning and Neural Networks Techniques

SOTI Inc. is a Canadian company providing control and management for mobile devices. Insight Agent is a product made by SOTI to help collect various battery specifications such as battery level, voltage, current and other metrics from mobile devices. This research project aims to use a machine learning and neural networks framework to predict the […]

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