Canada is one of the largest canola producing countries. The industry contributes about $20 billion revenue to the Canadian economy. Currently, canola farmers rely on the weather forecast (temperature, moisture, etc.) to decide whether to apply a fungicide. As the Internet-of-Things and sensor technologies get more advanced, farmers are deserved to have better technologies for […]

Echinoccocus multilocularis (Em) is a deathly parasite that can affect humans and is considered as a global emergent pathogen. Recent findings indicate that the parasite is expanding its geographic range in North America and that the highly pathogenic European strain is the most prevalent in Western Canada (Alberta, British Columbia, and Saskatchewan). Therefore, I will […]

Shale gas plays are becoming progressively more important in the energy market as gas production from these reservoirs is increasing. With the advances in exploitation technology gas production from shale has become more viable and economic. Based on previous studies southwestern Manitoba can be a good candidate for extracting gas from shale formations at shallow […]

A key factor to deliver reliable intelligent vehicles is the proper exploitation of data gathered from the different sensors equipping the vehicle. To do so, a data fusion algorithm is applied. However, the reliability of the sensors can change (for example due to weather conditions), therefore, a solution to evaluate the quality of the data […]

Recent pipeline projects in Canada and the US have attracted lots of attention due to their importance for our future economy and environment. In the proposed project University of Alberta and Shawcor propose to work together towards developing E-smart pipelines and creating defect free system. We will utilize the vast amount of emerging and cutting-edge […]

My project aims to unravel how the brain can precisely deliver blood flow to match neuronal metabolism, termed neurovascular coupling (NVC). Evidence suggests that functional changes within the neurovascular unit, which is comprised of the neuron, the astrocyte and the vascular contractile cell, are associated with the development of vascular-cognitive impairment, as well as treatment […]

Avian Reovirus (ARV) is an economically important virus that is affecting poultry flocks in Alberta. Birds infected with pathogenic ARV may develop a disease named viral arthritis/tenosynovitis which is characterised by lameness, swollen joints, rupture of tendons and increase mortality. The disease is controlled by parent stock vaccination with live and/or inactivated antigen to provide […]

This project will develop practical workflows, algorithms and programming codes for inferring unknown reservoir properties from distributed temperature and acoustic sensing data. In-situ pressure and flow conditions can be interpreted from downhole fiber signals gathered in real time, which are used to estimate unknown heterogeneous reservoir parameters continuously. Machine learning methods will be incorporated to […]

How non-invasive brain stimulation works is poorly understood. Advanced neurotechnologies are providing new opportunities to explore transcranial direct current stimulation (tDCS) mechanisms. Ironically, the developing brain is more “plastic” and highly capable of change, yet tDCS mechanisms are almost exclusive to adults. Though treatment options are limited, we recently demonstrated for the first time that […]

The subject of this project is to investigate the use of various materials in chemical looping combustion on a bench scale. The University of Manchester in Manchester, the United Kingdom will be hosting me during a 3-month internship. The main purpose of this work is to improve the efficiency of the capturing process and lower […]

Artificial Intelligence (AI) research has grown rapidly in recent years as the result of faster computers and better algorithms. AI models can be trained to automate the decision process and provide results. However, if the model is not properly or sufficiently trained, the outcome will likely be unpredictable and inaccurate. Besides, training data is not […]

Modern roundabouts have become a subject of great interest and attention over the last few years considering their potential to reduce vehicular delay & emissions and increase safety. The objectives of this study to examine the short- and long-term benefits performance of roundabouts from a multi-modal perspective. Using real observed data from vehicular traffic, pedestrians, […]