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 […]

Built on Web 2.0 principles, LimeSpot Solution Inc. will work with intern(s) to research on multiple modules that cover a variety of different aspects of applicability of social network in marketing and e-commerce: user driven, provider driven, device driven, and multiple providers. The research will help the partner organization to improve upon the current offerings […]

People are switching from traditional shopping to internet commerce as Internet access increases quickly. So nowadays people are becoming more dependent on e-commerce-based websites. On the other hand, instead of robbing businesses like banks and stores, modern thieves now use the anonymous internet architecture to track down their victims online. Hackers are employing new strategies, […]

The project is part of a Master’s degree Thesis titled “Imitation Learning for Gait Similarity Optimization in Bipedal Locomotion Robots”, which aims to study the application of artificial intelligence techniques to allow humanoid robots to learn how to walk in a way as similar as possible as a human does. Specifically, the project to be […]