In this project, considering the rate-dependent behavior of permafrost, a multiphysics-based hazard ??assessment tool will be developed to investigate the life-cycle performance of infrastructure subject ?to ?different seasonal climate projections and climate change scenarios. For this purpose, first, an ?advanced thermo-elasto-viscoplastic (TEVP) constitutive model is being developed based ?on the ?framework of critical state soil […]

Machine learning applications in healthcare have shown excellent inroads in medical imaging sciences in recent years. Our research aims to improve upon and open up doors into several different pathology diagnosis applications using artificial intelligence. Contemporary research into some of these applications has shown better diagnostic capacity than expert-level clinicians. Our research into artificial intelligence […]

There are many commercialized active noise cancellation (ANC) headphones and headsets that try to reduce unwanted background noise. You can simply listen to your favorite music or talking with your loved ones in crowed areas using them without any distractions. The overall working principle of them is to generate an inverse signal to unwanted noise […]

This research project proposes to gather sustainability strategies from different building-performance certification strategies and apply them in combination with climate data for the specific, and extreme zone in which Winnipeg is classified. This localized lens will allow refinement of strategies, which will be tested through digitally modelling 3D case studies to analyze different approaches to […]

People living with IBD, grave and lifelong disease, have gut damage and pain. Fibers can improve gut health in healthy people, but they are not digested in the gut. Instead, they are broken down by gut microorganisms (bacteria and fungi) in a process called fermentation. But the types and amounts of gut microbes in IBD […]

Different industries have widely employed condition monitoring to evaluate their system’s health. For gas turbines, current methods have limitations related to certain operating and environmental conditions and are mainly based on supervised approaches requiring annotated data that is hard to acquire. This project will focus on developing an unsupervised anomaly detection mechanism that alarms users […]

The Smart Vertical Farming project will utilize smart sensor technologies and advanced computing to optimize indoor growing conditions for plants. Researchers will monitor inputs such as fertilizer levels, soil conditions, lighting, temperature, humidity and CO2 levels in real-time and make correlations to the plant growth using cameras to measure foliage density, colour and health. Advanced […]

With the abundance of data in the current era of the industrial revolution, it would be essential to have software with offline data security features to perform data-based analysis of equipment life by identifying the factors affecting equipment failure, which leads to the loss of production. Therefore, this project aims to develop software that can […]

Non-fungible tokens (NFTs) are cryptographic assets on a blockchain with unique identification codes and metadata that distinguish them from each other. Due to its vast usability in different industries, such as gaming, real estate, and art, many professionals believe it will be the future of trading. However, like any other new technology, it has issues […]

Empathy is important to therapeutic relationships and patient-centred care where patients’ preferences and needs are met. We have developed a web browser app called In Your Shoes (IYS) that runs on any browser and has potential to provide empathy training experiences in any situation requiring perceptual understanding of what others are thinking and feeling. The […]

Transformers are one of the key elements in electric power systems whose health ensures reliable, stable electric power for the economy and society. Partial discharge (PD) is known to be a symptom of defects in electrical insulation systems, such as those employed in transformers. Detection and localization of PD in transformers are critical to develop […]

In partnership with ZenfriInc, this project seeks tofacilitate the successful introductionof a mobile game called Clandestine Anomalyto the mobile game market. Due to the embryonic stage of the mobile game market this research will use primary and secondary research methods to create a market analysis and inform the market strategy. Firstly, this research will provide […]