Development of fabrication, microstructure and performance relationships in inkjet printed polymer electrolyte fuel cell electrodes for automotive applications

Polymer electrolyte fuel cells (PEFCs) running on hydrogen are a preferred choice for on-board electricity generation in automobiles. A major challenge associated with this technology is its high cost due to the use of platinum as electrocatalyst. Implementation of inkjet printing as a fabrication tool has been investigated by the applicant and the academic supervisor to fabricate and test PEFC electrodes that are 5 times thinner and contain 15 times lower platinum than conventional electrodes resulting in an improved catalyst utilization.

Formulation and Toxicology of Bone-Targeting Nanoparticles

Bones undergo a renewal process by replenishing calcium mineral through a cellular process known as remodeling. Usually, it happens in a balanced manner, but in many bone diseases, the remodeling process is increased with regional bone metabolism. Bisphosphonate (BP) drugs selectivity and strongly bind to bone mineral and become incorporated at active sites of bone turnover in an increased amount.

Modularization and Standardization of Pipe Rack Infrastructure

The growing trend of delivering structural design services for industrial structures to foreign countries has often led to designs that reflect the local experience of designers who are part of a construction culture that includes very low-cost labour. The result is that Canadian construction companies such as the research partner company, Waiward Steel LP, are faced with fabricating structures that are neither efficient nor provide good value for owners.

Performance evaluation of a Novel “Displacement Buffering System” for Buried Pipelines

ALFA Upgrades recently developed a system for buried pipelines, referred to as “Displacement Buffering System (DBS)”, to redistribute the stress and strain concentrations in a pipe and limit the allowable lateral displacement of the pipe in the incidence of large ground movement.
The scope of this project includes performing experimental tests and consequently developing equations that estimate the extent of allowable applied displacement before the onset of pipe buckling while the DBS is in place.

Using GIS Mapping to Understand the Burden of Trauma in East Africa

The World Health Organization estimates trauma causes 5 million deaths each year, 90% of those deaths occurring in low-to-middle income countries. While improved outcomes have been noted when resources are focused on improving staff training, infrastructure, supplies availability, and process organization, the burden of injury in Kenya is not fully known and significant injury and death from major traumas occur frequently.

Application of spent hen adhesive for engineered wood products

In the egg industry, as the hens are at the end of their productive lives they are of little economic value to the farmers and seen as a by-product or a waste which require disposal. Disposal of spent hens is a long-existing liability to the egg industry for paying associated cost of handling, transportation and disposal. Therefore finding alternate methods and new use is highly desirable to increase the profitability of the poultry industry.

Ecology of sitatunga in Uganda

Trophy hunting, while a controversial issue in the developed world, is an important management strategy by wildlife management agencies across the equator. Due to negative public opinions, trophy hunting outfitters are under increased scrutiny to demonstrate that hunting has no detrimental effects on animal populations. To this end, we are embarking upon research into the size and extent of the sitatunga population on the Mayanja River in Uganda, which is part of the hunting concession managed by Uganda Wildlife Safaris.

Machine learning in fluid composition quantification

A critical issue in the oil and gas industry is to quantify the composition of fluids flowing back from the hydraulic fracturing process. This quantification is usually carried out by a manual process (frequently via a visual test) to estimate the water and oil produced from a well flow back process. A sample of these onsite tests are sent to laboratories for chemical analysis. This process has been the status quo for decades. This approach is manual, prone to error, and does not lend itself to sophisticated real time analysis.

New statistical machine learning methods applied to high dimensional sensory input data from chemistry

Machine learning is the concept where a computer can be trained to recognize data and predict future outcomes based on the trends that exist in the data. This method of analysis has not been used on engine data, specifically in-line oil. Oil is an engine’s lifeblood and a lot of data can be collected and engine health can be predicted based on these measurements. This project aims to deploy machine learning concepts in the area of engine failure prediction.

Evaluation Capacity Network: Aligning Evaluative Thinking and Practice among Early Childhood Stakeholders

This project aims to provide much needed evidence to non-profit organizations working with vulnerable children and their families in five inner city schools. The All in for Youth initiative is a collaboration of eight organizations offering integrated, multi-dimensional supports to improve academic outcomes and resiliency of vulnerable children, support family health and stability, get communities involved, and inform policy and systems change.