The feasibility of composting alum phosphate sludge that is produced in the process of phosphorous removal at wastewater lagoons is investigated in this project. The sludge is produced in an innovative phosphorous removal system that is being tested in a pilot scale at the RM of Taché, MB. The dewatered sludge will be stockpiled in […]

In a world where animal health and welfare are receiving increasing attention, it is crucial that we understand and support livestock farmers who are under an incredible amount of stress. This research is designed to start a supportive discussion and to collect information on the topic of farmer mental health in the beef and dairy […]

This project aims to develop a method for accurately assessing the enzymatic activity of large libraries of compounds. To do this we will employ computational modeling of small molecules in an ensemble of protein crystal structures. The results of this work will lead to a better understanding of the relationship between docked poses and crystal […]

The Loony is a symbol, recognized by all Canadians. While it looks golden, the Royal Canadian Mint is producing its yellow color with an alloy coating on the coin surface. Yellow bronze is a hard and esthetically pleasing material that can be used as a coating for such coins. Internationally, yellow bronze coatings are predominantly […]

Foqus Technologies Inc. provides solutions based on Quantum Information algorithms and Machine Learning techniques to enhance the sensitivity of Magnetic Resonance Technologies such as MRI and Nuclear Magnetic Resonance (NMR). We are developing a software solution that implements our proprietary quantum algorithms and enhances the MRI/NMR. Although there are various potential market applications and opportunities, […]

Design of modern electric power systems in which renewable energy resources are included is a challenging task. This is because these power systems employ a large number of sophisticated power converters and control methods that need to be accurately tuned. The task of tuning and optimizing these converters and their controls is tedious, repetitive, and […]

Reliability analysis of structures is crucial to ensure efficient operations in industrial assets. Nowadays, industries benefit from condition monitoring (CM) equipment to evaluate their products’ health. Current commercial reliability software can not accurately analyze the reliability of structures under time-varying conditions. The intern has previously developed an algorithm for accurate reliability analysis of different structures. […]

Designing new anticancer agents using structure based drug design and the 3D structure of the biological target is becoming an increasingly important field of study. The main objective of this project is to develop and identify anticancer drug candidate(s) for advanced preclinical testing, with the end goal of identifying drug candidates suitable for clinical trials […]

As the number of patients with stroke and Parkinson’s Disease (PD) increases, it is essential to obtain treatment progress data efficiently for the home rehabilitation. For the therapy of hand disabilities, a system is required to collect data, process and control hand motions during rehabilitation. Current rehabilitation devices that are available in the market are […]

Laboratory pedagogy is considered absolutely critical for physics and engineering education ranging from high school to university. Among all universities worldwide, a well-known first-year physics experiment demonstration is a spring-coupled pendulums system. It demonstrates the coherent coupling; the underlying physics is reflected from classical mechanics to advanced quantum systems. It has excellent application from a […]

Rolling element bearings act as the heart of rotating machines. Any imperfection in their condition can lead to an abrupt failure which can be catastrophic. For more than two decades, implementing sensors for condition monitoring of bearings has been beneficial in preventing abrupt failure and fault detection. These sensors require a noise-free atmosphere to have […]

Unmanned Aerial Vehicles (UAV) or drones have numerous applications in different industries. However, drones have limitations such as short flight time, limited flight range, and navigational inaccuracy in regions with unreliable GPS signal. To mitigate these limitations, using a group of drones to cooperatively perform the mission is proposed. The resulting parallel operation increases the […]