Seeding frenzy

A few years later, that opportunity has allowed Joel to build a career for himself, and make developments that have benefitted the company and Canada’s agricultural sector.

“It was hardcore research,” says Joel, looking back on his internship. “Not just gathering data, but also looking at the results, drawing conclusions, and making recommendations directly to the general manager. It was more like a project as a professional than as an intern, and it definitely gave me a foot in the door.” Joel’s internship also led to the company filing a patent on some of his work.

Design and Implementation of a database driven website for IIBC Canada-based online Application

This project seeks to design and implement an online web-based application system for IIBC that will enable people to easily apply for Work permit, Study permit, Permanent Residence, etc. This will provide real-time access to data, making visa application easy for people from all countries to migrate to Canada. With this web application system in place, IIBC will reduce the time taken in handling the manual process, making their services effective and efficient, while generating extra revenue due to ease of processes for customers.

Models, algorithms and technologies for the treatment of atrial fibrillation caused by heart blockages

Heart failure is among the causes of death in developed countries. Scientific and medical research has made improvements in treating this condition. Mathematical modelling and computer simulation would help in developing the necessary technologies to detect and treat heart blockages and also give a better understanding and protocols for ablation, the clinical procedure used to treat this condition.

Environmental and social risk assessment to support informed collaborative decision making for vegetation management of northern Rights-of-Way

Integrated Vegetation Management (IVM) is an approach that utility companies can use to manage vegetation under or near transmission lines and has been successfully applied in southern jurisdictions. IVM requires practitioners to understand and manipulate plant communities to meet management objectives, such as maintaining a low growing plant communities that help prevent the regrowth of trees.

Dynamic Control of Robotic Arm

In the design of robotic mechanisms, dynamic balancing i.e. force and moment balancing is an important issue. The robotic mechanism’s accuracy and efficiency are affected because of the unbalance. Moreover, the forces and moments cause fatigue, noise and disturbance in its structural base. Previous research done by Prof. Chris Zhang include a force balancing method that is termed as adjusting kinematic parameters (AKP) for robotic mechanisms or real-time controllable (RTC) mechanisms. This research includes dynamic balancing method for planar mechanisms only i.e. two dimensional.

Methods for constrained scheduling optimization

This project involves researching and integrating constraints into existing route and schedule optimization software. The partner organization (Western Heritage) has developed software that calculates the shortest route and optimal daily schedule for home care workers visiting patients in their homes. These schedules must consider constraints for each worker and patient, such as: smoker, pet in the house, lifting requirements, gender requirements, etc. as well as constraints for multiple starting points for each worker.

Development of low-cost feeding strategies for group-housed gestating sows

Feed restriction in gestating sows is required to prevent excessive body weight gain and the associated negative consequences on lactation, locomotion, farrowing, and feed intake during lactation. Aggression and stereotypies associated with restricted feeding become a welfare and production concern when the sows are housed in groups.

Prioritizing decision-making for agriculture and conservation in North America’s prairies under climate change and land-use change

Wetland habitats are critically important to many animal and plant species, and they are in trouble. The North American prairies, for example, comprise some of the most productive wetland habitats in the world, but many areas of the prairies have lost up to 90% of their wetlands and more than 90% of their native grasslands due to farming practices and more recently, climate change. This project will build a decision-support framework to prescribe the conservation actions needed to sustain wetland biodiversity in the face of climate and land-use changes.

Sustainable Capacity Building in the North by the North

This unique research project, undertaken by Master of Northern Governance and Development (MNGD) students, contributes significantly to our understanding of the North. The research focuses on community-based responses to rapid economic, social, and environmental changes and the development of the local capacity to respond. The analysis is collaborative, involving key stakeholders at the community and multi-community levels, and is informed by their values and interests.

Applications of Neural Network Curve Fitting Methods for Least-squares Monte Carlo Simulations in Financial Risk Management

Monte Carlo simulation methods are commonly used as a risk management tool to estimate the risk exposure of financial asset portfolios. However, the traditional brute-force Monte Carlo (BFMC) method is often very timeconsuming, which makes it difficult to serve the risk management needs of modern insurance industry. An alternative approach, the least-squares Monte Carlo (LSMC) method, could substantially reduce the computation cost by fitting a proxy function of liabilities using simple nonlinear regression methods.