Alberta Diversification and Organizational Resilience Project

The aim of this project is to research and develop tools to assess and aid the diversification of organizations in the province of Alberta. Alberta is rich in resources, both tangible and intangible. Nevertheless, the price of oil, Alberta’s dependence on this tangible resource and related service have skewed the Province’s investment and entrepreneurial profile. There is a call from private and public sectors to once again diversify the production and service base of the Province’s economy.

Performance Metrics and Reporting Requirements for Sustainable Supply Chain Management

The Sustainability Toolkit has been developed to address the lack of step-by-step guidance to show organizations how develop and implement a comprehensive sustainability management plan. The Toolkit integrates globally-recognized approaches to sustainability management that can be used to manage an organization’s supplier/customer sustainability requirements.

Study of mobile maintenance related asset utilization in mining operations at New Afton Mine Site

This project corresponds to a study of utilization of assets at the New Afton mine, in Kamloops, BC. With the collaboration of New Gold’s conglomerate and Thompson Rivers University this will collect sufficient data internally and by comparing it with publicly related information of similar companies and using statistical tools and optimization models, will provide recommendations that can be used in the whole mining sector.

Driving Down GHG in Toronto: Factors Shaping Electric Vehicle (EV) Ownership, Drive Patterns, and Behaviours

With the ongoing threat of anthropogenic climate warming, understanding how stakeholders in Ontario can accelerate the adoption of electric vehicles (EVs) to maximize their environmental and economic benefits is of great importance. The large-scale adoption of EVs requires further research to understand consumer demand and social valuations. Ontario has over 5,000 EV drivers on the road that make up 32% of Canada’s total EV drivers. However, there is virtually no information about their demographic profile, where they drive or why they bought an EV.

SIEMENS Perceived Value of Energy Consumers Project: Research and Development for Modeling the Perceived Value of Energy Consumers

Research and Development for Modeling the Perceived Value of Energy Consumers is a novel area of study which should help to better understand the energy consumers and the perceived value they place on different services and products. By identifying, understanding potential new products and services the related business models can be developed.

Monitoring, Tracking, and Reporting of Sustainability Impacts

Quantifying Economic, Environmental and Social Sustainability Impacts of organizations and initiatives is challenging, particularly for the environmental and social legs. Enviro-Stewards recently introduced a shared savings based project approach in addition to its conventional (lump sum) based service approach.

Intelligent control strategies for the Industrial Internet – Phase II

This phase of the project continues on the research focus of developing intelligent control for machines using derived deep machine learning schemes. The learning algorithms to be developed will use high volume data from various processes in advanced manufacturing and other systems, combined with could based analytics, formulate complex and accurate process models of these processes. These models will then be integrated into advanced controllers that are self-optimizing and are continually updated via deep learning networks and continuous data streams machines.

Using Predictive Analytics to Improve Inside Sales Performance

Lately, predictive analytics as emerged as a vital area of study for both researchers and practitioners. This trend researches into large volumn of data for hidden patterns and relationships to gain data-driven insights and predict future outcomes. Predictive analytics can help the inside sales industry obtain optimum value from a large amount of data they have in their possession. In this research, we will leverage predictive analytics to help improve inside sales performance.

Multiple shock dependencies with applications to insurance risks

Traditional insurance models build on the assumption of independence of risks. One of the main causes of the recent financial crisis, this assumption has facilitated the quantification of risks for decades, but it has often lead to risks' under-estimation and as a result under-pricing. Importantly, one of the prime pillars of the novel concept of Enterprise Risk Management is the requirement that insurance companies have a clear understanding of risks' interconnections within the risk portfolios. However, modeling dependence is not an easy call.

Diagnostic screening for conscious awareness in brain injury and disease: Visual component

Since the mid 1970s, medical personnel have used the Glasgow Coma Scale (GCS) as an important tool to rate and describe levels of consciousness. This scale is rudimentary and subjective, often resulting in misdiagnoses in cases where people lack the capacity to communicate. In some unfortunate situations, severe neurological damage can render people unable to move. Inevitably, these people are deemed vegetative when in actuality; many are simply ‘locked in’. For years researchers have used cognitive event related potentials (ERPs) with modified EEG to assess receptive language capacity.