Since the COVID-19 outbreak, social distancing became the most effective approach to guarantee safety. In manufacturing operations this has been achieved through a work from home policy for non-essential personnel and staggered shift operations for essential personnel. However, it is near impossible to track essential personnel compliance to social distancing as well as optimize production operations manually due to the COVID-19 safety restrictions. Therefore, automated computer-vision-based alternatives have attracted interest for such applications.

Adaptive driving beam (ADB) is an advance vehicle forward lighting system that automatically adapts its beam patterns to create a non-glare zone around oncoming and preceding vehicles. The purpose of ADB system is to produce good long-range visibility for driver without causing discomfort glare to other road users. The non-glare zone of current ADB system is solely based of the width of oncoming or preceding vehicle that are detected by camera. However, the optimal width of ADB non-glare zone should be different for different driving scenario.

The rapid spread of COVID-19, associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is of tremendous global concern. There is an urgent need to expand the current diagnosis capacity and to develop effective home-usable tests, and simple ones that can be used at the primary point-of-care. Ideally, the test will be simple enough that it could be performed by untrained personnel, yet also optimized to eliminate potential misuse and inaccurate measurements.

A significant fraction of wet organic waste streams within typical municipalities include food wastes (collected by many as source separated organics), and sludges or biosolids. In Canada, such wastes are mostly going to landfill or being land applied to recover some nutrient value. Anaerobic digestion (AD) for disposal of organic waste is an attractive option to recover renewable bioenergy (as methane or hydrogen), with additional environmental benefits from preventing such wastes from going to the landfill.

The CTD is a rosette structure which is circular in shape and houses a number of elements. These elements include sensors, water sample bottles, ropes and cables to support the CTD structure. The sensors included in the CTD are not limited to conductivity, temperature and depth, but also include sensors to determine other physical properties. In this research, a model of the CTD sensor designed by RBR will be developed for the purpose of measuring conductivity and determine the nature of the water sample by calculating indirect parameters associated with it.

CUTRIC, in partnership with the University of Windsor are seeking greater understanding of the barriers to participation which have resulted in the low representation of women within the leadership ranks of Canadian transit systems. To better understand this lack of representation, a literature review will be conducted to ascertain what knowledge exists in this field and will be used to provide a foundation for the next steps of the research.

Researchers around the world are racing to find treatment solutions to combat COVID-19, the disease cause by infection of the novel coronavirus (SARS-CoV-2). The use of antiretroviral therapy has recently shown preliminary promise. However, a barrier relates to bioavailability challenges, i.e., poor uptake, of these drugs. Poor bioavailability limits drug utility which could be paramount in combating rapid health declines in COVID-19.

Highly infectious COVID-19 has had widespread effects on Canadian and global health, security, and economy. While vaccines play a key role in preventing viral diseases, various measures should be taken to slow their spread. Among preventative measures, disinfection systems are of paramount importance to battle COVID-19.

The Superplastic Forming process involves gas injection from a variable pressure supply, to form a heated metallic sheet into a complex automotive body panel shape onto the surface of a die. The current process involves excessive forming times which allow residual stresses to relax and avoid cracking and tearing. Research shows that pressure pulsations of the gas supply increases allowable material strain rate, reducing required manufacturing time.

Due to the potential for significant cost-savings, many companies are turning their attention to digital simulations to improve their products and develop new ones. Although software is available to support these efforts, there is a growing need in industry to improve the accuracy of predictions from these codes. The goal of this project is to conduct research required for the development of a new prototype software package for engineering simulations in continuum mechanics (e.g., fluid flows, heat transfer, electromagnetics, etc.) based on an innovative concept known as “cut-stencils”.