This internship research project is aimed at using state-of-the-art machine learning and AI techniques to create profitable trading strategies in the derivatives markets. This research is key to the business operations of the partner organization and gives interns invaluable experience and insights to the business.

This research aims to generate and optimize optimal tool-path(process path of robot) by learning data on kinematics and dynamics properties required for the machining process using multi-axis robots with Artificial Intelligence(AI). Based on the end-effector of the robot, a new approach is proposed to optimize tool path in drilling or milling processes and to develop […]

Internationally Educated Health Professionals (IEHPs), are those who completed their health professional degree (e.g., nursing, MD, etc.) from outside Canada. Many of the IEHPs, however, cannot integrate into their ideal career i.e., nurse, physician, etc. and remain underemployed in non-skilled jobs. The low rate of success in obtaining their respective career in Canada leaves no […]

Protein deficiency is a major problem affecting large scale of the world’s population. Rice, the globally desired staple food, has low protein content (7-10%) in its grains. Though rice protein content is low compared to other cereals, it is highly desired due to the presence of highly nutritious and easily digestible glutelin protein. Grain Protein […]

In thermal-solvent assisted gravity drainage recovery processes, bitumen viscosity reduction takes places under combined effect of heating and dilution. Imperial has been optimizing the existing solvent recovery processes and developing new technologies to improve the efficiencies and environmental performance of the heavy oil production operations. Recent focus of the company has been in the area […]

Asthma affects 1 in 8 Canadian children and is the leading cause of pediatric hospitalizations with costs to Canadian health care systems estimated to exceed 4.2Billion/year by 2030. While the causes are still debated, infant prematurity is a strong predictor for asthma. The altered gut bacterial community (microbiome) in preemies is suspected to contribute to […]

Asthma affects 1 in 8 Canadian children and is the leading cause of pediatric hospitalizations with costs to Canadian health care systems estimated to exceed 4.2Billion/year by 2030. While the causes are still debated, infant prematurity is a strong predictor for asthma. The altered gut bacterial community (microbiome) in preemies is suspected to contribute to […]

Carbon Capture and Storage is projected to play a key role in achieving the federal government’s target of reducing Canada’s greenhouse gas emissions to net-zero by 2050. CMC Research Institutes, in partnership with the University of Calgary, has established the Containment and Monitoring Institute Field Research Station (FRS), a state-of-the-art testbed facility to develop, test […]

Carbon Capture and Storage is projected to play a key role in achieving the federal government’s target of reducing Canada’s greenhouse gas emissions to net-zero by 2050. CMC Research Institutes, in partnership with the University of Calgary, has established the Containment and Monitoring Institute Field Research Station (FRS), a state-of-the-art testbed facility to develop, test […]

We recently studied Western Canadian dairy farmers’ perspectives on outdoor access for dairy cows and identified 3 key areas requiring more research. Participants cited a lack of research on the effects of outdoor access for dry cows on transition cow health and farm profitability as a barrier to making an informed decision to provide outdoor […]

We recently studied Western Canadian dairy farmers’ perspectives on outdoor access for dairy cows and identified 3 key areas requiring more research. Participants cited a lack of research on the effects of outdoor access for dry cows on transition cow health and farm profitability as a barrier to making an informed decision to provide outdoor […]

In this research, we propose the design of an efficient automated system which can effectively learn from the patterns of malicious activities, in the form of distributed denial of service attack (DDoS) against web servers on the Internet, and subsequently offer potential victims protection against such attacks by banning such requests in advance. A DDoS […]