Anaerobic Digesters are used in farm-based, municipal and industrial settings to convert wastes (manure and crop residues) as well as other feedstock material (fat, grease, oil and food wastes) to biogas. Produced digestate is rich in nutrients such as phosphate, nitrogen, (and other minor nutrients) and is mixed with water that makes the transportation costly […]

The Canadian Autism Spectrum Disorder Alliance (CASDA) was created to develop and implement a comprehensive National Autism Strategy (NAS) to addresses critical gaps in funding and policies which are preventing autistic individuals and their families from exercising their equal rights as Canadians. COVID-19 has created additional challenges for families across Canada that must be taken […]

Plant oils are attractive renewable feedstocks for the synthesis of biobased resins. However, the current bioresin technologies are unable to address certain challenges including (1) achieving a sufficiently high biocontent in the final product, (2) the synthesis of bioresins via green chemistry, and (3) a commercially feasible bioresin cost. In this research, the MITACS intern […]

Grasslands cover approximately one third of the Earth’s surface but are among the most threatened and least protected habitats. Livestock grazing is one management strategy to restore degraded grassland ecosystems, but little is known about the effect of grazing on grassland reptiles and amphibians (herpetofauna). World-wide, herpetofauna are in decline and may be particularly susceptible […]

As a global leader of industrial footwear insoles, MegaComfort is actively engaged in developing innovative products to maintain healthy workers and prevent injuries. The goal of this research project is to provide a system that is able to scan a human foot from a single image or sequence of images (video) and be able to […]

Monitoring of wildlife populations is essential for identifying declines or changes, especially in response to habitat changes or disturbance. By comparing historical and modern populations, we can quantify long-term trends. In this study we are comparing historical data from the mid-1980’s to modern to identify trends within a population of Western rattlesnakes (Crotalus oreganus). During […]

Manufacturing is a $174 billion industry in Canada, representing over 10% of total GDP and 68% of merchandise exports. Inventory is the largest spend and asset for manufacturing companies, and efficient inventory management is a proven strategy to increase profitability in the manufacturing sector. The aim of inventory management is to achieve satisfactory levels of […]

The Ontario Dental Association requires the time of three hours between two clients in a dental office to prevent the transmission of COVID-19; however, this strict guideline poses a great challenge to the economics of dental business and the recovery of Ontario economy. The results of this study will help understand the COVID-19 transmission in […]

My doctoral research investigates mental health challenges of Canadian farmers, to more effectively address them. My research includes a nationwide epidemiological survey examining the prevalence and factors associated with depression, anxiety, stress, resilience, and burnout. Additionally, I conducted 75 one-on-one qualitative interviews with farmers and others in the agricultural industry to provide an in-depth understanding […]

Blood tests are highly sought after to enable earlier cancer detection. We previously developed a blood test for breast cancer that is in prospective clinical study in Alberta, Manchester (UK), Oklahoma (USA) and South Korea. The proposed project will investigate some clinical samples collected through this work to support the primarily focus of identifying biomarkers […]

Despite protection measures, the Golden cod sub-population in the Gilbert Bay Marine Protected Area is experiencing steep decline. Given the regulatory complexity and reluctance of industry to consider a split or delayed season for surrounding fisheries, partners aim to create an alternative solution to balance economic fishing interests with conservation objectives. The goal of this […]

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]