Même si les compagnies d’assurances investissent des sommes considérables en publicité, il leur est souvent difficile, voire impossible, de répondre précisément et avec confiance à la question « Combien de nouvelles soumissions d’assurances par des clients potentiels sont générées grâce à ces investissements publicitaires ? » Pourtant, des données sur les efforts publicitaires et les […]

The management of quality of drinking water systems, river and lakes is a significant environmental challenge. In this research project, we plan to develop low-cost real-time water quality monitoring and analytics software, which can be used to analyze and predict water quality in remote lakes, rivers, drinking water plants and other water bodies. The Aquahive […]

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks) and Statistical Learning […]

The Taiwanese white dolphin is a subspecies only found in Taiwan. Since 2008 it has been listed as Critically Endangered in the Red List of Threatened Species of the International Union for Conservation of Nature (IUCN), meaning that it is globally recognized as facing an extremely high risk of extinction. The dolphins face a plethora […]

The intern will research new modelling technology to determine if the new models can make a significant improvement in servicing customers for loan approvals, debt collections, and open banking. The intern will work closely with the partner to understand the banking process and opportunity. The partner organization will receive several benefits from working with the […]

The objective of the proposed research program is to develop a flexible and unified multivariate framework for modeling the returns of financial assets. The program is innovative since it establishes closed-form formulas for an efficient and reliable calculation of risk measures and derivative prices. For financial institutions and government regulators, who are performing pricing and […]

Chronic obstructive pulmonary disease (COPD) is a 3rd leading cause of death (1) which decreases lung function due to irreversible airway obstruction. The main indicator of the progression of COPD is a rate of the forced expiratory volume of 1 second (FEV1) decline. The intern will build the prediction model for the slope of FEV1 […]

Poor mental health and stress are an expected outcome of the COVID-19 pandemic. Social distancing is taking another toll on the mental health of individuals. With most of the medical consultations being held online there is an urgent need to enable continuous monitoring of mental health by identifying risk factors for high stress and poor […]

Leveraging the entirety of point of sale and loyalty data collected across a category, as well as additional socio-economic and other supporting data sources, apply statistical modelling to identify the own-price elasticity of demand and cross-price elasticity of demand at regular and promoted price points across Unilever’s portfolio within that category. Subsequently measuring the promotional […]

The project objective is to develop a method for measuring public opinion using social media data. Presently the ability to derive externally valid inferences from social media data is impeded by issues such as sample bias and data structure. By applying recent innovations in machine learning to account for such issues, this project aims to […]

Freight service is an integral part of any business that supplies or sells physical goods. Even though its importance is often hidden from consumers, the sight of trucks and cargo vans on city streets and highways can make one appreciate the extent to which freight service impacts our lives. In North America, many carriers (i.e. […]

This project’s objective is to create a proprietary digital platform which will allow for a faster, more accurate diagnosis of a building’s indoor environmental quality (IEQ) – at a fraction of the cost of today’s industry testing rates. The project aims to ensure that data being collected can be properly categorized and analyzed, creating a […]