The objective of this project is to employ computer technologies to describe and detect trends in enteric diseases and antimicrobial resistance. A data extraction program has been developed and installed on the computers at twelve sentinel companion animal practices in and around Calgary. The program automatically extracts, transforms and exports the desired fields to an […]

With the combination of reverse engineering, shape modeling and feature-based design, there could be a huge opportunity in industry to achieve highly efficient and rapid design of products, such as car and aircraft bodies as well as the derived modules and parts. Modern CAD technology has enabled sophisticated surface modeling tools and application which are […]

The main objective of this project is developing a novel technology to understand Alzheimer’s disease (AD). The main cause of AD has not been clearly discovered, and therefore the effective treatment to stop the disease has not yet been established. This technology which is an integration of microfluidic, nano-electronics, and optical imaging techniques would provide […]

Additive Manufacturing (AM) is a fast growing technology with application areas in automobile, biomedical, and aerospace etc. The technology is moving rapidly from polymers to metal AM due to advantages in terms of shape complexity, and minimum material and energy wastage. The major challenge in Metal AM is the shape deviation modeling, and quantification. Shape […]

In recent years, the use of Mathematics and Statistics in Finance has become increasingly important, with the arrival of new software and investment methods. The notion of market efficiency, particularly the assumption that assets are always correctly priced, suffers from market anomalies which lead to potential arbitrage strategies in the short run. Therefore, this project […]

The thyroid glands are located at the front of the neck. The thyroid glands tend to develop small lumps, and it is very common in adults. Most of the lumps are not harmful to humans. However, some of these lumps could be cancerous. Therefore, it is essential to detect the lumps that are cancerous correctly. […]

Across Canada, many provinces and municipalities are struggling to address poverty in their communities. Communities are attempting to address poverty with poverty reduction strategies. With a lack of literature to support these attempts, it is difficult for communities to best address poverty and to best engage people experiencing poverty in their poverty reduction initiatives. Results […]

Agricultural grasslands are a significant source of anthropogenic greenhouse gas emissions. However, uncertainties in estimates of greenhouse gas fluxes from farmlands are still high. Soil models used to quantify and simulate greenhouse gas emissions, generally use average site inputs for soil and vegetation initialization using a limited number of samples and do not account for […]

Airborne pathogens can easily and quickly spread respiratory diseases. Devices currently used for protection in hospitals, such as N95 respirators, rely only on filtration. Additionally, surgical masks have been increasingly used, although not effective against aerosols. This has been observed during past pandemics and epidemics of severe acute respiratory syndrome (SARS), swine flu, and Middle […]

The main objective of my research is to use spatial dynamic models (a combination of Cellular Automata model and Agent-Based model, short for CA-model and AB-model) to simulate future scenarios of tropical forest in the Guanacaste region, Costa Rica. It is a multi-layer model, including three layers. The top one is CA-model layer, and it […]

Plants are an essential part of our day-to-day lives. They provide us oxygen to breathe through photosynthesis, food and drugs for human health and well-being in addition to many materials and products for everyday use across Canadian society. For plants, light is a central to their growth, development and survival, rendering our understanding of how […]

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]