This study aims to produce a feasibility report on establishing a district energy system in Haliburton, Ontario. The district energy system will be powered by wood chips sourced by a local, privately held forest and transported by truck to the proposed biomass energy centre. Areas that will be examined in this study include transportation costs […]

Research project “Prophet” aims to build a demand forecasting pipeline that collects data and applies machine learning models to make accurate predictions of future demands under unstable scenarios. In particular, this project will focus on efficient forecast of Unilever’s base SKUs and involve model development based on time-series, machine learning and possibly combinations of the […]

Pour répondre à l’imprévisibilité des environnements — au désordre ambiant — les organisations tentent d’ajouter de la robustesse et de la résilience par le contrôle. Ce faisant, elles sclérosent leurs structures et se coupent des humains. L’attention se porte alors sur la performance interne et sur la vélocité; sans égard à la qualité ou à […]

The Ni–Cu ores of the Sudbury region were first discovered in 1883. Since then, Sudbury has grown to be the richest mining district in North America. Sudbury represents the site of a meteorite impact structure originally greater than 200 km in diameter and that formed 1.85 billion years ago. Despite the proven and potential economic […]

The objective of the research is to validate and enhance production of polyhydroxyalkanoate (PHA) biopolymers from hemp stems, agricultural waste. Two interns will carry out the proposed work to upcycling hemp stems into the biopolymers with advanced biotechnologies of fermentation and PHA synthesis. The final biopolymers produced from hemp stems will be characterized for physical, […]

In the genomics era, microbiologists are collecting data at an accelerating pace. We have created a data science platform called QUOREM that significantly reduces the technical burden experienced by microbial ecologists associated with managing ever-increasing quantities of data. We believe that public and private research groups in Canada could benefit our platform, and the ability […]

During the past two decades, the CBOE Volatility Index (VIX® Index), a key measure of investor sentiment and 30-day future volatility expectations, has generated much investor attention because of its unique and powerful features. The introduction of VIX futures in 2004, VIX options in 2006, and other volatility-related trading instruments provided traders and investors access […]

Canada works towards designating 30% of our national waters as Marine Protected Area (MPA) by 2030. The need to collect baseline information and monitor such a huge territory, which is equivalent to the area covered by Alberta, Manitoba, New Brunswick, and Nova Scotia altogether, will be next to impossible without a paradigm shift in the […]

Municipalities across Canada have declared climate emergencies but are they able to deliver solutions and make change in their communities? What is the role of municipal land use planning tools, such as zoning, green performance standards, and urban design guidelines? Which tools are poised to have the highest impact? Climate change policies related to energy […]

The global market of marine collagen-added products is tremendously growing, leading to the need for a stable and enormous supply of marine collagen. Atlantic salmon scales and skin are abundant in collagen, however no research has been performed for its extraction. The proposed project will develop an efficient extraction process to maximize the collagen yield, […]

Canada is the third largest exporter and the fourth largest producer of oil in the world. Thus, oil is a very important part of the Canadian economy. Oil is a cleaner fuel than coal, but it still has many disadvantages. For example, oil spills that occurs during transport and drilling can cause great environmental damage. […]

In many industrial and engineering applications, process control plays a central role. Among the possible control strategies, model predictive control (MPC), also called receding horizon control (RHC) , stands out for its excellent ability to handle constraints. While MPC has been successfully applied to many industrial applications, further developments are limited when it becomes necessary […]