The public transportation system is crucial in alleviating urban congestion. The widespread of smart card automated fare collection (AFC) system produces massive data recording passengers’ day-to-day transport dynamic, which provides unprecedented opportunities to researchers and practitioners to understand and improve transit services. This project aims to make full use of the transit operational data (mainly […]

There are many exciting therapeutic applications for proteins. Many diseases are caused by faulty enzymes, which can sometimes be replaced. Antibodies and antibody-like molecules are being developed to specifically target cancers and other diseases. However, in order to administer these products, they must be made in a way that has minimal effect on the patient’s […]

Muscle wasting is a common complication of many diseases such as cancer, chronic heart and lung disease and results in weakness, impaired quality of life and shortened survival. There are no drugs for the treatment of muscle wasting. We have identified a gene, USP19, in the ubiquitin pathway which is the major pathway of protein […]

Improving the quality of fuels, increasing the efficiency and also producing lower emissions is one of the main challenges of the 21st century. A Calgary company, Katal, is working on a hydrorefining process in order to produce diesel fuel with superior quality compared with the traditional fuel. The company, however, has limited scientific understanding of […]

With the fast growing information available on the web, students are often greeted with countless learning materials. As such, personalization is an essential strategy for facilitating relevant learning materials to satisfy students’ needs. The scope of this project is to design a recommendation system by using a deep learning process for personalized learning based on […]

To develop parts from an initial design to the final product is a very tedious process in the mold manufacturing industry. Computer Numerical Control (CNC) plays a major role in the mold manufacturing industry to create products in a fast and efficient manner. The goal of this project is to automate the CAD to CNC […]

CHLNet identified the need for valid, reliable tools to determine the impact of these health leadership development programs. This project will develop a practical, easy to use toolkit to facilitate the measurement of program outcomes and impacts. The toolkit will be pilot tested and evaluated across the country according to defined selection criteria. The finalized […]

The proposed work main goal is to improve the overall human health quality through providing an online monitoring device acting as a data platform that represents a gateway to simple solutions that allow consumers and patients to better manage their health and disease risk. The broader mission includes leveraging the data platform to improve diagnostics […]

Many patients who initially respond well to highly efficacious chemotherapy eventually develop resistance and relapse despite continued treatment. These cancers acquire drug resistance to current therapies through various mechanisms such as the acquisition of mutations for example. Furthermore, some promising targets that play a crucial role in the progression of cancer have been deemed undruggable […]

With the recent advances in artificial intelligence, applying deep reinforcement learning to improve urban traffic efficiency and reduce traffic congestion has been gaining increasing interest in both academia and industry. This research program aims at developing computational platforms to evaluate models and algorithms for the next generation traffic control and management strategies, such as autonomous […]

Over two years a post-doctoral fellow will investigate the electrostatic separation of potash. This will be accomplished experimentally by triboelectrically charging different materials, with and without conditioning agents, and then testing different separation techniques. Separation techniques will include electrostatic separation and a fines removal process. Electrostatic separation implementation in Saskatchewan may have multiple advantages, when […]

The automotive industry has recognized electric bike use as an integral part of the urban mobility of the future. To promote mass adoption of the integration of electric bikes with cars, the user perception of safety has to be improved. The objective of the proposed study is to investigate how aerodynamics and anxiety levels of […]