This project strives to identify rare and severe contaminants found in residential curbside recycling. Using computer vision techniques and machine learning, cameras analyze contaminants as they are tipped into recycling trucks. Some of these contaminants are rare, however they can pose severe risks to operators and the general public. As these contaminants are not common, […]

My main project is the conceptualization, creation, and continuous refinement of my Digital Marketing Masterclass workshops. These workshops are designed to further educate and empower the C-suite, senior technical and strategic management, and the employees of “digital-forward” businesses. There is a huge gap in education currently with regards to what is available for current and […]

CO2 geo-sequestration is an efficient approach to reduce CO2 emission and achieve zero carbon emission with minimum impact on economic growth and people’s wellbeing. This project focus on optimizing carbon utilization in heavy oil reservoirs and CO2 geo-sequestration in the underline saline aquaifer with three key objectives: optimizing CO2 injection in heavy oil reservoir to […]

Critical to development of successful strategies to improve short- and long-term growth and health of pigs is to understand the impact of dietary factors on intestinal health of newly-weaned pigs. This will become increasingly important as additional pressure is placed on the livestock industry to replace animal-based protein sources, include higher levels of plant and […]

This research project evaluates the environmental performance of two tailings management areas at a decommissioned mine site in Ontario. The tailings areas are decommissioned with a water cover and continue to be managed and monitored with ongoing water treatment. The project revisits groundwater modelling that was conducted prior to the decommissioning of the site and […]

Take steps to address worker shortage by improving recruitment and retention rates. Focus on alignment of the competencies required for a role and those the employee/applicant possesses resulting in greater employee performance, satisfaction and overall retention. Work closely with operations to understand positions and develop scorecards.

The principal objective of this proposal is to discover novel drugs to treat colon cancers. Currently colon cancer is a huge medical problem and there are many disadvantages to current drug therapies. These disadvantages include their ineffectiveness to completely eradicate cancers, causing toxic side effects and the development of multidrug resistance. A group of compounds […]

In recent decades, the pacing of global warming has intensified significantly, highlighting the imbalance between sustainable footprints and availability of farming resources. The proposed research extends the development of machine learning platform that tracks the economic and sustainability values on productive surface areas such as mixed staple and forestry farmlands. Beside enabling consumers to reduce […]

The purpose of the Health Status report is to provide a snapshot of the health of the population served by the Prairie North Regional Health Authority (PNRHA). Its vision of “healthy people in healthy communities” serves as the driving force of the report in hopes to better understand the social, economic, physical, political and cultural […]

Heavy oil (high viscosity oil) is trapped underground. Cold heavy oil production with sand (CHOPS) is an enabling technology to extract heavy oil through wormholes forming around wellbore. There are thousands of CHOPS wells in Saskatchewan and Alberta with low primary oil recovery. Cyclic solvent injection (CSI) enhanced oil recovery process stands out as one […]

Precision agriculture is adopting site-specific agriculture practices reducing farm inputs and increasing productivity. Site-specific agriculture requires information about every inch of the field. Provided the large farm holding of the Canadian Prairies, getting extensive information about the field is an uphill task. Currently, limited samples are taken from the field resulting in low spatial resolution. […]

This work aims to design and develop an efficient visual based vehicle re-identification system for International Road Dynamic. Vehicle re-identification, which is defined as: Identifying, classifying, and position-referencing a vehicle of interest through images/video streams collected via a network of camera stations, plays a key role towards developing intelligent transportation system.