Improved Brazing Processes for Attaching Sintered Carbide Tiles to Steel

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Business Analyst (BA) Impact on Business Agility and Data Analytics

Digital Transformation of business, combined with globalization through outsourcing, has create an increasingly fast-paced, competitive environment for most businesses. Additionally, new disruptive technologies such as Artificial Intelligence and Blockchain are just beginning to open new opportunities for the next wave of Digital Transformation. Agile concepts have accepted in information systems (IS) development for more than two decades.

Identification, localization, and characterization of human body inflammation using thermographic imaging

The research project undertaken by the intern is to investigate the relationship between inflammation and temperature, use that knowledge to define thermal metrics and develop a standard operating procedure for 3D thermal body imaging. During the project the intern will build a phantom to evaluate and optimize the performance of a commercially available 3D thermal imager for the identification, characterization and localization of inflammation.

Investigation of enhanced superplastic forming behaviour of Ti-6Al-4V alloy sheets for aerospace applications

Titanium alloys are used to manufacture aerospace components that require high strength at high operating temperatures such fan blades, heat shields and jet engine exhaust cones. Parts that have complex geometries are commonly formed at high temperature (around 900°C) so as to achieve maximum ductility during the forming process. By applying a small oscillating load during the forming process, the titanium alloy is expected to deform more uniformly and to a greater extent than during conventional superplastic forming.

Feasibility, acceptability and cost-benefit of the O2 Sensor Measurement, Transmission and Analysis (ATAS O2) in clinical practice during the COVID-19 pandemic

The health system is highly dependent on supplemental oxygen, used in many medical procedures. During the COVID-19 pandemic, the demand for oxygen increased which requires an increase in management and clinical efficiency. The monitoring of the oxygen is currently performed by a person who observes the flow rate and adjusts it according to the medical prescription for the patient. This process has limited efficiency for monitoring dosage and leaks.

An Improved Approach to Watershed Management and Adaptive Decision Making in the Great Lakes

With collaboration between the Council of the Great Lakes Region, Pollution Probe and Lambton College, the proposed project is focused on continuing the development of an artificial intelligence visualization tool to enable users to select growth constraints and visualize resulting changes to watershed health, predict how watersheds will evolve over time and prescribe actions to protect them. This AI tool’s purpose is to analyze historical watershed data and to predict changes to a watershed over time. Looking into water quality and the minimum and maximum of water quality thresholds.

Anomaly Detection in Highly Noisy Signals from Electrical Rotating Machines

Equipment failure is the primary source of unplanned downtime in industries working with rotating electrical machines. Fault detection at the early stages is an essential solution for reducing this downtime. Condition monitoring of machinery is the process of capturing and monitoring parameters such as vibrations to identify a developing fault. This project uses the data resulting from condition monitoring to develop anomaly detection algorithms for improving early-stage fault detection and diagnosis processes.

Macrofungal biodiversity in coastal temperate rainforests of British Columbia

Coastal temperate rainforests hold a high biodiversity of living organisms, including many fungal species. The
diversity of fungi remain poorly described in forests of BC. In the proposed study, we will document these species
and improve our understanding of ecosystem complexity by gathering essential baseline information on fungal
communities. This will be useful for applied research and for the long-term monitoring these forests, particularly
when considering future climate change impacts. This project has two broad objectives that will target the
macrofungal community in forest ecosystems.

The Discovery of Potential New Antidepressant Compounds from Mushrooms Native to British Columbia

Mental illnesses, particularly depression, is one of the leading causes of global disease burden. In addition to reducing the quality of life of patients and their relatives, it costs billions of dollars annually to the Canadian economy. Unfortunately, current antidepressant drugs are barely satisfactory and have numerous side-effects. The goal of this project is to discover potential new antidepressant drugs from wild mushrooms native to British Columbia.

Quantum and Silicon Photonics Library for AIM photonics

Quantum computing (QC) is expected to deliver the next leap in information technology, with anticipated impacts as significant as the development of silicon integrated circuits and the Internet. Photonic QC provides the advantage of a scalable platform based on silicon manufacturing. Industry has recognized the potential of a purely photonic approach, as being pursued by Xanadu (Toronto, Canada) and PsiQuantum (California). However, photons don’t last long while travelling in silicon waveguides, meaning it is difficult to perform many quantum operations before the photons are lost.