The multiple sclerosis (MS) clinic at St. Michael’s Hospital (SMH) is among the largest in the world. While considerable data is collected from the MS clinic in both structured and unstructured form, the ability to glean this information to assess quality of care and conduct advanced analytics such as predictive modeling is limited. In this […]

Nowadays, the balance of omega-3 and omega-6 fatty acids (FAs) has shifted in favour of the latter and fiber consumption has decreased, both of which are associated with poor cardiometabolic health. Omega 3 FAs and fiber may impart their health benefits by modulating the endocannabinoid system (ECS) and the gut microbiome, both of which are […]

We are in the process of creating and growing a team of researchers expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are working with more than 1000 retail locations across North America and collecting large-scale datasets of […]

A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment […]

Since Amazon robotics expanded the use of drones to package deliveries to customers, drone applications have been expanded to many industries along with its ability to perform various tasks autonomously. The fundamental technology of drones’ autonomy comes from perceiving its surrounding, creating its own map based on onboard sensors and estimate its location within the […]

The negative effects of obesity on quality of life, daily functioning and overall health are well documented. Specifically, obesity is associated with increased morbidity and mortality. Despite this knowledge, the incidence of obesity continues to increase exponentially leading some, generally extreme cases, to seek out laparascopic adjustable gastric banding (LAGB), as a means to control […]

The IISD-Experimental Lakes Area is currently examining the effectiveness of minimally invasive shoreline methods for cleaning spilled oil. Non-invasive methods are needed to eliminate disturbance to sensitive riparian areas that occur with typical cleanup operations. Non-invasive methods protect sensitive shoreline habitats by minimizing physical contact and they can also speed oil removal after a spill […]

Lending to various companies and individuals is a core business of banks. This lending activity comes with credit risk, namely the risk that some borrowers default and fail to make required payments. Estimating credit risk accurately is important for banks’ risk management. In this project, we analyze and model the dependence between loss frequency and […]

Citco provides financial products and services to hedge funds, private equity and real estate firms, investors, institutional banks, Global 1000 companies, and high net worth individuals in the Netherlands and internationally. The proposed research is focused on optimizing operations by automating trade resolution and reducing risk using machine learning. Outlier detection algorithms will be proposed […]

Carbon nanopearls are an exciting novel class of materials that present unique characteristics, and they turn out to be an excellent alternative to carbon nanotubes for different applications. Presently, they are experimented with success as material for cold cathodes for electron-beam based instrumentation applications and they can be used for the development of polymer nanocomposites […]

Les habiletés motrices fondamentales (HMF), par exemple : lancer, attraper, courir, sauter, sont le fondement d’un mode de vie actif. Elles se développement au cours de l’enfance via la pratique d’activité physique donc principalement à travers les périodes de jeu. Cependant, seulement un mince pourcentage des enfants répondre aux recommandations nationales du temps accordé à […]

On time discovery of problems and constant monitoring of construction sites have great economical benefit. It requires the capability of highly efficient and accurate object detection and segmentation algorithms that can work with coarsely labelled training samples. The project is aimed to develop new learning-based object detection and segmentation algorithms for problem detection and mapping […]