The new wireless network technology will provide users with a higher communication quality. However, we will face two critical problems: the wireless traffic will increase considerably, and the wireless signals will contain noise. The Wifi signals are represented as time series, but processing and removing noise from such huge-volume, high-dimensional and complex data pose great […]

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 […]

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 […]

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 […]

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 […]

The research proposed in this document will build upon and extend the previously funded CRIAQ (AUT-1701) and MITACS (IT12130) projects on the development of a UAV platform for search and rescue activities in the ski facilities of Domain Saint Bernard in Mont Tremblant in collaboration with SII Canada. The goal of this research is to […]

This research aims to address to knowledge gaps in complex multi-stakeholder planning contexts. First, it involves better understanding engagement methods and value elicitation techniques with the purpose of decision making in multiple urban/rural planning contexts. Second, it will research and develop a participatory monitoring and evaluation (M&E) framework to be applied in a First Nations […]

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 […]

In this project, we apply deep learning methods to analyze and obtain useful information from text data that are collected from social media, and combine these information with numerical data from physical sensors. We then develop new deep learning based solutions that exploit the combined data in order to track the ships in the open […]

This project will develop data-driven models for production performance analysis and optimization for solvent-assisted bitumen recovery operations and related processes. Effective operations of solvent processes are crucial for improving oil production and maintaining a low solvent-to-oil ratio (SOR). Although the recent developments in digital oilfield technologies have enabled real-time surveillance of downhole operating conditions and […]

Transmission pipelines are the most popular and widely used medium to transport hydrocarbons (e.g., oil and gas) over long distances. Pipelines might pass through various geological and topographic conditions and therefore, pipeline routing is a critical component for successful design and regulatory approval. Due to the environmental and safety concerns or constraints imposed by the […]

Some species of marine invertebrates are rich source of diverse bioactive molecules with variety of therapeutic properties including immunostimulatory, anticancer and antimicrobial. This research aims to develop an integrated process for the sequential extraction and fractionation of pharmaceutically important from a selected marine invertebrates using supercritical carbon dioxide. The newly developed process will be a […]