Organizations across various industries struggle to deliver personalized offerings and expanded access for target populations. Developing sub-population profiles will help identify priority sub-populations with the greatest potential to benefit from personalized support and intervention, and inform the development, targeting and delivery of personalized offerings. The objective of this research project is to enhance Deloitte’s Market […]

Traditional 3D reverse-engineering and prototyping involves 3D modeling and manual parts recognition. With the advent of 3D scanning technologies, it becomes possible to automate this workflow. This research internship aims at creating a novel mechanism to automate the process of assembly recognition, as part of a new workflow of 3D interactive prototyping. The research will […]

Operating a fleet of autonomous robots introduces challenges such as reduced safety for humans working around the robots, reliability of intern communication of the robots, coordination behaviour of the robots, etc. At Fourien we have developed autonomous robots which work very well as stand alone units but there is a need of development of a […]

ESGTree is an Environmental, Social, Governance (ESG) data management platform for investors and corporations. Collecting, aggregating, and reporting ESG data is painstakingly inefficient for private capital investors. The ESGTree platform sets up individual client systems in a way that it will cater to all their investors and all the standards they need. The project ESG […]

The Rescue Lake Simcoe Coalition would like to expand the demographic reach of our organization in order to better represent the Lake Simcoe community. The people who care about Lake Simcoe are a diverse set. There is a need to broaden our tent by making our messaging more appealing to more demographics. Those include fishing […]

Comment réconcilier l’idéal du ‘plan parfait’ avec la problématique pragmatique de l’habitation? Ce projet explore la rencontre entre deux aspects fondamentaux de l’architecture résidentielle – entre l’architecture comme manifestation formelle et spatiale des idées pures, et l’architecture comme réponse pragmatique aux problèmes spécifiques de l’habitation. Le projet examine la problématique de l’habiter et les réponses […]

Chinatown’s community is diverse and while many seniors live in the neighborhood, there are many seniors who commute daily to spend the day in Chinatown. Censuses have shown that the senior population is rapidly increasing, thus providing a continuum of housing is a key factor to creating a resilient community. An initial study of housing […]

Historiquement destinée à une clientèle B2C, Lex Start fournit des services d’incorporations, ainsi que tous les contrats corporatifs nécessaires à prix fixe pour les entrepreuneurs. La mission de Lex Start est de rendre le juridique accessible à tous. C’est pourquoi après plus de deux ans de recherche et développement, Lex Start se prépare à commercialiser […]

The objective of this project is to create market sentiment indicators for cryptocurrencies. Market sentiment indicators are built from text analysis of exchanges on Twitter and other sources, that may include embedded or references images (e.g., price curves) and videos. The text dataset for cryptocurrencies may have a very structure from that of traditional currencies. […]

L’étude porte sur les associations de plantes en agriculture urbaine au sein des plantes de la famille des Brassicacées, tels que le chou, le brocoli, la moutarde, la roquette, etc. Certaines plantes en compagnonnage aux cultures de la famille des Brassicacées ont des fonctions intéressantes pouvant l’imiter l’infestation d’insectes ravageurs. Les insectes ravageurs peuvent nuire […]

Many conversational agents blend the functionalities of question-answering and chit-chat into a single system. This lays the foundation for a more interactive type of question-answering models which is the primary focus of the research project. Interaction between a user and the agent allows the user to ask an underdefined or ambiguous question, and, instead of […]

In distributed computing settings, data privacy is of paramount importance (e.g., mobile or medical devices). Federated Learning (FL) empowered the state-of-the-art deep neural network model to provide AI solutions to clients while keeping the client data private in distributed computing settings. Communication between different devices is one of the main bottlenecks of FL model because […]