The use of ionic liquids (ILs) in enhanced oil recovery is considered a new and promising technology as it has never been tested in any pilot plant or reservoir field. ILs are very similar to surfactants as they help reduce the interfacial tension, change the wettability of the reservoir, and some have strong viscous effect, […]

With the growth in demand for electric vehicles and mobile devices powered by rechargeable lithium batteries, demand for lithium is expected to increase by over 200% in the next decade. Current lithium production comes primarily from Australia, South America and China. There are significant lithium reserves in the same Saskatchewan aquifers currently being exploited for […]

Hydraulic fracturing technique has become an essential requirement in exploiting tight and light oil reserves in Saskatchewan and Alberta. The recovery in tight oil fields in these provinces is low with rapid production decline in hydraulically fractured wells. Also, it should be noted that fracturing horizontal wells can consume millions of gallons of water; a […]

Cyber-Physical Systems (CPS) combine communication and information technology functions to the physical components of a system for purposes of monitoring, controlling, and automation. The power grid is becoming one of the largest CPS, where grid components are controlled based on the synergies in the cyberspace. CPS hold a great promise to improve the efficiency and […]

The release of 5G network in near future will provide reliable connectivity, higher throughput, better service quality, and more efficient signaling. The network traffic load will continuously rise with more and more mobile users using the internet services. There is a need to forecast wireless network traffic load to manage network resources efficiently and provide […]

Smartphone based indoor navigation services are desperately needed in an indoor GPS-denied environment, such as in Combat-zone Surveillance, Health Monitoring, Fire Detection, etc. The Receive Signal Strength (RSS) based algorithms are commonly used in indoor localization, which rely on the WiFi fingerprint data built by the Mobile Crowdsensing approach. Conventional statistical and probability techniques are […]

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 […]

Small mammals (mice and voles) are a vital component of most terrestrial ecosystems; however, their communities have not been studied on large geographic scales because of limits imposed by conventional sampling methods (i.e., trapping). This project will take advantage of great-horned and burrowing owls as efficient surveyors of small mammal comunities. Specifically, small mammal community […]