Grants and Contributions

Novel Machine Learning models will be developped for the automatic generation of training data for learning to predict distances of extragalactic objects from images.

Peas (Pisum sativum) are one of the main pulse crops, extensively grown in Western Canada. The demand for peas and their fractions continue to increase due to their known nutritional and health benefits, as well as growing demand for gluten free products. However, the beany flavour of pea protein presents challenge in using pea ingredients in a broad range of food products. This study will develop novel processing technology for pea protein using hydrodynamic cavitation and membrane filtration.

Antimicrobial resistance (AMR) is a serious and growing problem in the treatment of infectious disease. Broadly, the potential to use combat AMR using collateral sensitivity, a phenomenon whereby resistance to one antimicrobial results in sensitivity to other drugs will be examined. The hypothesis that collateral sensitivities can be used to slow the emergence of AMR will be tested. The central premise of this hypothesis is that the use of one drug will select against mutations that confer resistance to a second drug. For example, if streptomycin resistance mutations confer sensitivity to chloramphenicol, then treatment of a sensitive population of bacteria with chloramphenicol should slow the emergence of streptomycin resistance by selecting against specific, collaterally sensitive mutations. The team will test this hypothesis using a combination of conventional mutation rate assays and sequencing. This work will provide crucial tests of the central logic of using collateral sensitivity to fight AMR; such tests have not thus far been carried out.

In this proposed research project, a solid-state integrated system compatible with CMOS technology will be exploited, without any mechanical moving parts.

To emulate neural networks, it is essential to reproduce the functions of biological synapses in physical devices that could be fabricated on a larger scale. artificial synapses will be developed using printable materials made of carbon nanotubes and photoactive dyes. The synapses will consist of semiconducting single-walled carbon nanotubes (SWCNTs) as the active channel material and a layer sensitive to light to impart synaptic weight control and potentiation / depression ability through optical and electrical gating. This structure is called an optically-gated carbon nanotube network field-effect transistor (OG-CNN-FET). The main task will be to develop the photoactive materials that will be incorporated into OG-CNN-FETs and thus to create a library of various photoactive materials inks. The optical properties of the SWCNT-photoactive materials system will be tested to optimizie the synapses and to better understand their physical interaction.

Novel Machine Learning models will be developped for the automatic generation of training data for learning to predict distances of extragalactic objects from images.

The objective of this project is to enhance Indigenous participation in the natural resource economy, and support governance, and First Nation, government, and/or industry engagement.

The objective of this Project is to reduce diesel dependency in rural and remote communities through capacity building activities related to the development and delivery of knowledge and skills that lead to community renewable energy projects.

The objective of this project is to enhance Indigenous participation in the natural resource economy, and support governance, and First Nation, government, and/or industry engagement.

The project aims to contribute to the guarantee of sexual and reproductive health and rights (SRHR) for migrants and refugees from Venezuela and host communities in Colombia and Ecuador, with a gender sensitive approach. Project activities include: (1) improving knowledge and agency of women and girls, migrants and refugees to exercise their SRHR; (2) empowering national/local authorities and civil society organizations in the promotion of comprehensive gender responsive SRHR services; (3) strengthening coordination mechanisms for comprehensive gender responsive SRHR rights and response to women and girls and migrants from Venezuela and host communities; and (4) increasing capacity and assistance on gender-based violence prevention and gender sensitive responses from national/local authorities and services providers.