Informed thin-film device design, wherein layers of thin-films are deposited onto an underlying substrate, requires an understanding of the spectral dependence of the optical functions associated with the thin-film layers which constitute such a device. In this project, we aim to continue to develop our understanding of the form of the optical functions for the various types of thin-film materials and then use this knowledge in order to aid in the interpretation of experimentally acquired transmittance and reflectance spectra.

The aim of this project is to develop an application that can proactively protect users from identity theft and create awareness around safe digital practices. For this, we will be developing novel ways of extracting utility out of data and helping users to maintain a least-risk profile score. Most of the computations will be done on edge devices and computations will be prioritized based on value extractions. This research will help to bridge the gap between the accuracy and efficiency of the models to preserve privacy.

Manure application supplies valuable nutrients to crops and reduces soil erosion, however, it can also be a source of pollution. Emissions of dust, gases, odors, virus, and bacteria can be released in large quantities and have negative impacts on the environment and workers’ health. This project proposes to adapt a low-cost technique called Passive Flux Sampling (PFS) for measuring fugitive emissions during manure spreading. This technique could be used for measuring airborne pollutants, such as greenhouse gases or bioaerosols emissions.

As a full-service, data-driven solutions provider for aviation, SKYTRAC Systems is developing new 2-MCU
satellite communications (SATCOM) terminal, SDL-350, which will be capable of achieving globally
available broadband transfer rates of 352 kbps both to and from the aircraft. One critical challenge facing
the R&D engineers of SDL-350 is the thermal management, because the power dissipation level of SDL-
350 is beyond what is achievable for the convectional thermal designs of avionics. Dr.

Vertical farming is an increasingly popular, indoor, and space-saving agricultural method that involves growing food crops or other plants in vertical layers with artificial lighting for which advantages include year-round, local and nutritious food production for dense urban areas or food deserts such as sprawling metropolitan or remote northern communities.

In this project, we are trying to expose our existing core system functionalities to a public user interface. We will design, implement and test a research prototype user interface that can provide simple and flexible content sharing over a web-based user interface (UI) for organizations such as healthcare or surveillance systems that require a mechanism for (patrial-)sharing content between users in a simple way while providing a chain of custody.

In practical machine learning problems, it is important to understand impact of features on models’ predictions. Such an understanding helps not only better explain the black-box machine learning models but also enables their effective applications in business environment. The general model explanation approaches make an untenable assumption that the model’s features are uncorrelated, which can lead to incorrect or unintelligible explanations.

This project aims to design sustainable new microsystems to power data monitoring buoys that can provide a sustainable power source using the ocean waves dynamics. The proposed project will result in significant advances in three long-standing challenges in energy harvesters-based micro devices powering the data monitoring buoys using the ocean waves. These include low frequencies of the ocean waves, mechanical failures due to (high mechanical stress) of the ocean waves, and the efficiency of the energy harvesters-based microdevices.

Across Canada, electricity is becoming a scarce resource as there are increasingly urgent calls to electrify fossil fuel loads. Furthermore, even if ample generation is present, the electrical grid will be unable to accommodate the increased demand. This research project will propose and investigate tangible solutions to optimize the power flow and usage within the distribution network so that existing electrical grid infrastructure will be able to deliver more energy with fewer losses, while ensuring the grid remains safe and stable.

The primary objective of this project is to provide Canadian petroleum companies with a set of reliable data derived from experiments conducted on reservoir-on-the-chip platforms that facilitate the visualization of pore-scale interactions between solvent and heavy oil during the CO2-based CSI process in the presence of complex wormhole systems in post-CHOPS reservoirs. The reservoir-on-the-chip is particularly effective in capturing the effects of the governing operational parameters on foamy oil stability and the overall performance of a CO2-based CSI process.