The integration of Environmental, Social and Governance (ESG) factors into investment decisions has accelerated in the last few years. In fact, Bank of America estimates a $20 trillion of asset growth in ESG funds over the next two decades. Evaluating ESG related events of a company is an important task to assess company ESG risk. […]

The proposed research projects will expand the scope of computer algebra systems (CAS) into two areas where much remains to be done: symbolic analysis and polyhedral geometry. One of the proposed research projects will also strengthen CAS in one of their well-established territory, namely symbolic integration. These themes will support applications such as the analysis, […]

Persons with visual impairments often have residual vision, even if they are legally blind. In this research project, we want to develop technology to assist persons with visual impairment in their everyday life. We want to use augmented reality to enhance the real world visually. The system will be implemented to extract all necessary information […]

Grokvideo Inc. works on developing new technologies for extracting the best possible information from video content. This research project will provide new solutions to text-based query-video retrieval and automatic trailer generation for eventful videos such as movies and serials. Current methods seem to work well for short, non-eventful videos, say documentaries, but fail otherwise. Major […]

Collaborative filtering is a product recommendation technique for making automated product suggestions to a user based on the preference information from similar users. Traditional recommendation algorithms drive personalized recommendations using the data from user purchases and ratings. For e-book retailers, besides user purchases and ratings, product features such as book content and metadata also provide […]

Le but du projet est de développer un pipeline de données qui traite les observations de séances de jeu et les segmente en différents archétypes de joueurs. À titre d’exemple, dans un jeu de rôle, certains joueurs ont un style de jeu offensif, tandis que d’autres ont un style plus défensif. Le premier défi est […]

Social media are important ways of interaction between people, creating communities that can engage in order to promote relationships. When used by companies for philanthropic purposes, they can promote actions and donations. The purpose of this research is to understand how engagement can be enhanced through social media communities to get people to help each […]

Personal analytics refers to a recent trend where individuals wish to collect, analyze and visualize personal information so that they can gain knowledge about one’s behaviours, habits and thoughts in the context of their personal goals. The trend of self-tracking is rapidly increasing as people are becoming smarter about choices available to them, and seek […]

Modern video games are composed of different types of artifacts, such as images, sounds, and software code. All these artifacts are developed at the same time by different teams. While the independent creation and modification of each artifact allows different teams to make changes without blocking each other from making progress, how artifacts are combined […]

Customer Relationship Management (CRM) tools help protect and develop the relationships one builds with their clients, which typically uses data analysis to study large amounts of information. These tools compile data from a range of different communication channels which include company’s website, phone number, email, live chat, and social media. This allows learning more about […]

The broad goal of this project is to create and implement a system which is able of assessing and classifying skin burns (and other types of skin lesions/wounds) using different state-of-the-art machine learning models and techniques such as EfficientNets, Reinforcement learning, saliency mappers, CAM, etc… The work that will be completed during this internship will […]

This research aims to develop an efficient machine learning model to detect COVID-19 patients by using their cough signals. The model is trained using thousands of audio recordings of cough signals from different subjects. The audio signals can be converted into spectrogram images that can be visually inspected to determine relevant regions of interest. There […]