MealLens Inc. is developing an AI-driven meal-planning solution designed to help users efficiently manage food ingredients and optimize meal preparation. This project focuses on enhancing the system’s ability to recognize and process ingredient information while improving overall accuracy, user experience, and scalability. The expected outcome is a more intelligent and adaptable platform that will contribute […]

Alentic Microscience Inc has developed a highly portable device that performs complete blood counts and other in vitro diagnostic tests based on the lensless microscopic imaging of blood and reagents. The system uses proprietary sampling techniques and unique analysis software based on advanced machine learning techniques. The software has been designed as a multistep process […]

With recent advancements in Large Language Models (LLMs) designed for coding, Artificial Intelligence for Software Engineering (AI4SE) remains pivotal in enhancing both developer productivity and software quality. However, to excel at more specialized SE tasks like code transformation, companies still need to optimize LLMs to their specific context to avoid LLMs’ tendency to “hallucinate”, i.e., […]

The partner organization, AlayaCare being a provider of cloud-based home healthcare software services, will allow us to have access to real-world data as well as field realities for home health care services planning. The responses from the patients as well as the caregivers used to build the behavioral models (discrete choice models) will be obtained […]

Le projet s’inscrit dans le cadre d’une thèse qui vise à étudier la faisabilité de l’autoproduction et de l’autoconsommation électrique d’une communauté (un “social solar club”) et évitant au maximum les pics de consommation qui dépassent la capacité de production de la communauté. En France, un système mis en place par le distributeur national (EDF) […]

Les problèmes de santé mentale (anxiété, dépression, etc.) touchent aujourd’hui plus de 650 millions de personnes à travers le monde. Les premiers symptômes apparaissent habituellement entre 14 et 24 ans. Bien que les solutions humaines et technologiques existent, il est difficile de trouver la bonne solution au bon moment. Le projet est de proposer un […]

Document redaction has long been a heavy manual work. When governments and companies need to make documents available either internally or externally, they would need to hire someone with enough professional background to manually cross-out the sensitive information in the documents. The process is both time consuming and expensive. Thanks to the fast advances in […]

In recent years, face recognition algorithms based on deep neural networks have achieved human-level performance when tested on face recognition database. However, when put into real-world application, those algorithms are not robust enough, due to factors such as different lighting conditions, camera distance, and face orientations. In this project, the university team and the partner […]

This research aims to develop a system that generates explainable recommendations. Mobio currently allows merchants to offer items to users, but does not employ recent advances in recommender systems. This project will allow Mobio to build on the expertise of Dr. Chiang in related relational learning problems to create such a system, and provide a […]

The project is about developing a «smart store» system that will allow understanding customer and product behavior. This system will be based on Internet of Things (IoT) technologies allowing any object (product or person) to communicate automatically with its environment. Hence, our system will be used for tracking items and monitor consumer behavior in real […]

Due to rapid development of technology, such as the Internet of Things, collecting data is easier and cheaper than ever before. As a result, municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract […]

Over the last recent years, internet usage through mobile devices has grown rapidly and today, majority of the online traffic is coming from mobiles. This means that most of the time, a user uses his/her mobile to view the retailer website, review items or finish a purchase. Accord ingly, reta ilers have come to the […]