Future Safe: Designing Efficient Face Masks in the Era of COVID 19

With the surreal times we are living in the context of Covid-19, wearing face masks has become a global public necessity. While many people are wearing face masks, not all masks are created equal. From very expensive high-tech respirators with multiple layers of filtration, to homemade face masks using less than ideal fabrics, the general […]

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Robust Magnetic Resonance Imaging of Short T2 Tissues – Part 2

Magnetic resonance imaging (MRI) is an imagig modality which can visualize the internal structure of the human body and is free of radiation. In this project, we would like to write a multi-functional and robust MRI software package using ultrashort echo time (UTE) technique to realize the imaging of the tissues, such as tendons, ligaments […]

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Data Science in Pilot Performance Assessment

Automatically assessing a pilot performance during a flight training session is a capability that can enhance the flight instructor during his duty. From data gathered during a flight maneuver, we are looking for a way to automatically assess pilot performance to augment instructor performance and provide objectivity during flight training assessment.

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Model for assessment of risks of going missing in persons living with dementia during and post COVID-19 pandemic

According to the Institute for Health Metrics and Evaluation, the number of global deaths and disabilities related to mental health conditions, such as Alzheimer’s disease and related dementias, has risen in recent years. This applies to Canada in the same way, causing premature deaths and disabilities. The general objective of this project is to define, […]

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Novel Portable Sensor to Reveal “Hidden” COVID-19 Infection

In Canada, as of April 21, only 569,878 people (~1.5% of the population) have been tested, with more than 38,413 positive COVID-19 cases identified; yet most people, including the asymptomatic COVID-19 cases, are not eligible for testing. Given that as many as 45% of all COVID-19 cases lack the known symptoms, or so-called asymptomatic cases, […]

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Autonomous Stair-Climbing Domestic Service Robot

The main goal of this project is to develop a more advanced version of the Robotic Stairclimbing Assistant (ROSA), a stair-climbing domestic service robot developed by Quantum Robotic Systems. ROSA can carry heavier household items (e.g., laundry baskets, bins, etc.) between rooms and up stairs. ROSA is meant to help seniors, people with compromised mobility, […]

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Continuation of Characterization and Design of Additively Manufactured Components for Materials Integrity

Rapid prototyping, or 3D printing, has inspired the imagination of the general public, from simple build-it-yourself “hobby” machines using polymer-based binder material with inkjet functionality, to portable printers that can fashion components in zero gravity on the International Space Station. The functionality is user-friendly, in that printed material is dropped onto a substrate in viscous […]

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Insurance fraud detection in automobile insurance

We will focus on creating a series of time dependent models for detecting fraudulent claims depending on the level of dynamic information available, and fine tuning these models before testing them with live data and putting the retained models into production. Our objective is to better filter our actual label-claims to form a better control […]

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A real time high performance approach to volumetric light transport

Our research consists of developing novel techniques to further improve the rendering time and quality of volumetric light transport, in special the effect of multiple scattering on path tracing. Our proposal is to explore the human perceptual system to speed up the computation using a visual perception metric. To determine which parameters are feasible of […]

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Spoken Language Identification for Children

While taking foreign language tests, people may respond in languages other than the expected one. Typical scoring systems are trained only on the expected language, so unexpected language responses can have unusual results in speech recognition and scoring. Pearson would like to develop a more robust system for the automated speech recognition machine to know […]

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Thales – Prédiction logistique en pharmacie

Les pharmacies au détail s’appuient principalement sur leurs propres données empiriques pour planifier et prévoir leurs stocks. Ce type de données a ses propres caractéristiques, qui peuvent être saisonnières et être affectées par des événements spéciaux et imprévus tels que les maladies pandémiques. Toutefois, à mesure que la quantité de données s’accumule, il n’est pas […]

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Explore efficiently automated parallel hyperparameter search for optimizing machine learning models over large scale cloud cluster

Machine learning has been applied in various fields and shown promising results in recent years. Researchers have found that tuning machine learning models in a proper way can vastly boost the model performance with respect to the specific AI task. However, tuning machine learning models at scale, especially finding the right hyperparameter values, can be […]

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