Today, thanks to microelectronics, it is possible to find technology that continuously collects data such as motion kinematics or physiological data. This type of technology is commonly referred to as wearable and therefore the scope of this project is to find methodologies based on artificial intelligence for the creation of models that can predict a […]

AWL-Électricité travaille actuellement au développement d’un chargeur sans fil dans le domaine de la mobilité en utilisant une technologie de couplage capacitif résonant. Dans le but de manufacturer est d’amener un premier produit sur le marché, AWL-E cherche à développer un BMS, sois un système de gestion d’une batterie, et l’intégrer au produit présentement en […]

Since the internet boom, cybersecurity has become a major concern every year governments and tech companies are investing a lot to make sure they are not prey of cybersecurity issues. There are various types of threats that are related to cyber security such as: social engineering, malware, ransomware, cloud computing issues to name a few. […]

Digital commerce platforms these days collect trillions of data points of their customers and users, which are stored in database tables for a limited period. In Canada itself, there are 27 million eCommerce users that accounting to 75% of the Canadian population (International Trade Administration, 2022) Hackers constantly attempt to isolate and target vulnerabilities not […]

Autonomous flying vehicles are the future of aerospace industry. They require a robust trajectory tracking algorithm capable of finding an optimal solution in real-time. Optimal control, such as Nonlinear Model Predictive Control (NMPC) is a powerful technique which can handle the nonlinearities of a system by including the restrictions and constraints of its states and […]

The proposed project on cooperative multi-robot systems addresses one of the recognized major challenges and opportunities in collaborative robotics (Cobots). For multi-robot groups, optimizing transportation efficiency for the workpiece while at the same time achieving whole-body obstacle avoidance in a cluttered manufacturing environment is highly involved due to the physical coupling of the system between […]

Topological data analysis is a tool used to analyze the shape of a given dataset. It allows one to find topological or geometrical features of even large collections of data. Persistent homology is one of the main approaches to topological data analysis in recent times. The strategy is to set some rule to build geometrical […]

Terahertz (THz) waves are a type of radiation located between micro-waves and infrared light. This radiation possess both the qualities of micro-waves passing through walls and infrared which can be used to image an object. In the current project of the student, electro-optic sampling (EOs) method is used to detect THz pulse’s phase in reflexion […]

Improving feed efficiency (FE) and meat quality (MQ) are Canadian swine industry priorities that will increase sustainability and competitiveness. It is difficult to improve these traits simultaneously by traditional breeding methods due to limited knowledge of genetic interactions, limitations on animals that can be measured and the high cost of measurement. High throughput genomic technology […]

Companies with a strong online presence are seeking to increase users’ engagement by adding recommendation and prediction algorithms to their websites. These algorithms can for example predict which users’ actions are more likely to happen and which users’ actions are likely more profitable. Companies use such algorithms to tailor the content of their websites based […]

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

Tiresias is a client private solution to malware protection and threat intelligence. Tiresias allows a user to put all their incoming files in a cryptographically secure Data Chest locally. After sending the Data Chest to our cloud environment, our AI scans and infers if it is malicious without seeing the actual file content from the […]