AI-Blockchain integration to ensure explainability, accountability, traceability and reproducibility (EATR) in mission critical systems

This project is an effort to integrate two of the emerging technologies of our time, i.e., Artificial Intelligence and Blockchain. The purpose of this integration is to overcome the drawbacks of individual technologies and work in coherence for mutual benefits. Most of the current AI systems currently deployed are black boxes and they do not […]

Read More
Anomaly detection using AI/ML for Network Correction

Anomaly detection or outlier detection is a technique to identify rare items, observations or events which are differing significantly from most of the data or do not conform to the expected behavior of the system. Typically, anomalous data cause numerous problems in the computer networking and communication system. This project aims to develop an advanced […]

Read More
Creative Artificial Intelligence in Interactive Mobile Systems

The large amount of information available today on the web brings many challenges to the information retrieval and artificial Intelligence communities. Moreover, personalization is a key component in today’s successful mobile websites and interactive applications. In order to be effective, these websites are required to provide visitors with the information they need without the complexity […]

Read More
IoT device fingerprinting and anomaly detection using ML

The number of Internet of Things (IoT) devices is expected to reach 50 billion devices by 2020 and the devices are increasingly diverse. They are disrupting traditional security measures. Mobile Network Operators (MNOs) have limited control over customers’ IoT devices, as they are deployed on the customer premises. MNOs need to deploy effective security controls […]

Read More
NetRepAIr: Making networks reliable for next-generation applications using AI/ML techniques

Networks have grown from small topologies connecting a dozen of devices to large, shared infrastructures supporting primary needs of our society. Today, we count on networked services for trading, commuting, monitoring weather conditions, meeting people. In order to provide reliable services, network operators need to cope with the daunting challenge of ensuring millions of flows […]

Read More
Just-In-Time Scaling of Cloud Based Video Games using Machine Learning

Ubisoft’s cloud-based video game ecosystems experience the workload up to 5+ millions players in a typical week. Workloads on game servers are of different scales, ranging from tens of clients per game server to thousands of clients for traditional workloads. To guarantee game player user experience, a pool of servers is launched to react to […]

Read More
Détection de l’état de « flow » en temps réel par électroencéphalographie et apprentissage machine durant une expérience ludique

Les amateurs de jeu vidéo sont bien familiers avec la sensation d’être profondément captivés par un jeu au point de perdre la notion du passage du temps, tout en état capables de hautes performances sans se fatiguer mentalement. Cet état psychologique particulier a été baptisé « flow » par le psychologue hongrois Mihaly Csikszentmilhayi qui […]

Read More
Presentation and Manipulation Techniques for Geospatial Visualizations using Augmented Reality

Headworn display (HWD) augmented reality devices, such as the Magic Leap and HoloLens provide new opportunities to enhance interactive data visualizations. While immersive HWDs provide a straightforward way to render 3D and immersive visualizations, there are opportunities to improve 2D visualizations as well. This research program considers how 3D spatial metaphors enabled by AR can […]

Read More
Immersive Visual Analytics for Large Industrial Data

We investigate new possibilities for industrial data visualization and analysis with the latest Virtual Reality and Augmented Reality (AR/VR) technologies. In this cluster research, we will apply the state-of-art visual analytics methodologies to the forestry, manufacturing and mining industries, and evaluate the potential benefits for the newly introduced technologies. The research outcome may benefit industrial […]

Read More
Quantum Algorithms on NISQ Devices

With the small qubit devices now becoming accessible across various hardware and cloud platforms, it is imperative to find useful tasks for the devices to perform. Such devices are known as NISQ – Noisy Intermediate Scale Quantum – devices. In this regime of a few qubits, we expect the physical qubits to be noisy in […]

Read More
Creating a Digital Marketing Model Built on Corporate Social Responsibility

The proposed project seeks to better understand how contingency, dynamic capability, and task-technology theories factor in business process management models that apply to the business needs of SMEs and allow multiple system integration. Because a lot of research shows that the alignment of the business and IT goals of a company is crucial for business […]

Read More
Industry Sectors that Attract Recent Chinese Immigrants to Canada

This paper will explore the industry sectors that attract and retain the largest number of very recent Chinese immigrants (5 years or less) to Canada and the credential recognition services that Chinese skilled workers need in order to be able to work to their full potential in Canada. This paper will also include a review […]

Read More