Development of a Sustainable Program Quality Improvement Framework using a Balanced Scorecard Methodology at Family Services Ottawa

FSO (Family Services Ottawa) is a not-for-profit social service agency whose mission is to assist individuals, to build on their strengths and to improve their mental health. FSO does so by providing counselling, education, and advocacy within a context of working to foster systemic change. Although their programs are increasingly monitored and evaluated at the program level, FSO does not currently have a tool to assess and monitor their organization as a whole.

Process study, simulation and optimization of direct conversion of biomass to ethyl evulinate

Increasing concerns about global warming related to greenhouse emission, and depletion of fossil fuel resources, bring biomass as a promising environmentally friendly and sustainable alternative to supply chemicals and fuels. One attractive option is the conversion of biomass obtained from recycling activities to high-value chemicals.

Adaptive techniques to predict the N2O emission in a corn field under different fertilizer management practices and external factors.

Global warming is one of the largest environmental issues these days and the increasing greenhouse gases(GHGs) emission such as CO2, CH4 and N2O is the leading reason for global warming. The main sources of CH4 emission are rice cultivating systems and cattle rearing, meanwhile, N2O mainly come from the application of fertilizers. Many factors in the fertilizer management practices, as well as environmental factors, could affect the N2O emission therefore the carbon foot print. In this research, external factors such as temperature, irrigation, soil texture, etc.

Multi-channel Fluidic Cartridges for Parallel Nanopore Sensing

Solid-state nanopores are tiny holes in thin membranes comparable to the size of individual biomolecules like protein or DNA. They are using as sensors to detect these molecules one at a time, and have the potential to revolutionize DNA sequencing, personalized medicine, point-of-care diagnostics, and next-generation information storage methods, but have not been able to so far due to the high cost and inability to scale of the methods traditional used to fabricate them. We recently developed a method that allows to inexpensive, scalable fabrication of nanopore sensors.

Artificial generation of optimum whitewater waves in rivers for kayaking

Recreational river waves are gaining more and more popularity, but there is not enough academic research to support them and very few companies around the world can artificially create them using adjustable structures in rivers. Surf Anywhere, the Calgary-based partner organization in this research, is one of those few companies that has completed and is working on many wave projects in Canada, USA and Europe.

Crystal Engineering of Energetic Materials: Co-crystals and Ionic Salts with Enhanced Performance and Improved Chemical and Thermal Stability

Materials that can store and release significant amounts of energy are a high priority in the modern world due to the reliance of today’s society on propellants, explosives, pyrotechnics, aerospace and mining. Although there has been a thrust in the development of high energy materials, this has only been at the academic level. Industry continues to use old fashioned energetic materials which are primarily composed of highly toxic substances. To bridge the gap between academic advancements and industrial use, knowledge transfer, safety, scalability and cost-effectiveness are critical.

Lanthanide nanoparticle-based ink formulations for aerosol printing on miniaturized optical sensing platforms

The miniaturization of microelectronic, optical devices and sensors have pushed the development of smart and precise ways to fabricate these devices. Aerosol Jet microprinting is a great technology allowing to print very small features on these devices. In addition, it opens the possibilities to use functional inks that are optically activated and can act as temperature or molecular sensors.

Machine Learning for Practical and Scalable Regression Test Selection and Prioritization

In the context of systems with a large codebase, Continuous Integration (CI) significantly reduces integration problems, speed up development time, and shorten release time. While regression testing is widely practiced in the context of CI, it can be time-consuming and resource intensive for large codebases where the execution of test cases is time and resource intensive.

The Development and Implementation of a Data Management Strategy for a Community Mental Health Organization

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to optimize data use, and examining the role of big data in mental health service delivery and policy development.

Advanced non-destructive testing solutions for mass concrete and deepfoundations

This project aims to develop an improved methodology for condition assessment of mass concrete structures and deep foundations using customized NDT solutions and an integrated approach. The project builds on recent advances developed by the project partner (FPrimeC Solutions) and the academic research group (uOttawa) for next-generation NDT products and services. Assessing the condition of large foundations and other mass concrete structures is complex, yet critical for the protection and maintenance of valuable infrastructure assets.