An investigation into the motivations of individuals who volunteer and work at charitable and not-for-profit organizations

The goals of this research proposal, therefore, are to: 1) conduct a publishable review of the psychological literature to further understand the motivations of the unique group of individuals who choose to volunteer or work with charitable or not-for-profit organizations; and 2) develop an employee survey that will provide further insight into the motivations of this group of individuals. Taken together, these two products will provide a solid foundation for other human resources documents and practices at charitable and not-for-profit organizations.

Assessment of the "Pathway to Resilience" program

The purpose of this research is to develop an assessment for the "Pathway to Resilience" program. The "Pathway to Resilience" program is a resilience training program for employees developed by Air Institute. The assessment created during this internship will be used to assess the program's effectiveness. This assessment will be used to guide organizational reports delivered to client organizations following the program.

Development of machine learning and artificial intelligence toolbox to monitor data center risks and performance

Missing Link Technologies Ltd. provides customized and effective solutions to its partners for their IT infrastructure & operations. They are especially involved with solving the IT facilities management challenges of Telcos and Datacenters. The proposed research in collaboration with Missing Link Technologies Ltd. is aimed at leveraging the advances in machine learning and artificial intelligence in risk management, performance assessment and availability prediction of a data center. A suite of tools and techniques will be proposed towards this end.

Edge Response of Understorey Plants, Lichenivorous Gastropods and Their Grazing Impact on At-Risk Lichens in Mixedwood Swamps

Clearcut logging and acid deposition affect plants, lichens and slugs (lichen consumers) and may facilitate the introduction and spread of alien invasive slugs, which can increase grazing pressures on at-risk lichens. The main research goal of this project is to improve our understanding of how clearcutting practices affect herbs and slugs and facilitate both the introduction of alien slugs and increased grazing on endangered lichens.

A case study on the business impact of personalized shopping experience on retail stores

This research will determine what factors are the most significant when it comes to the personalized shopping experience from the perspective of both customers and retailers, and shed light on opportunities and options for North American retailers to innovate within the retail space. We will conduct surveys with both retailers and customers to determine the level of value that each cohort places on the various factors and data points that can improve the personalized shopping experience.

Visualization of IoT signals and optimization of sampling rate using machine learning

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. In addition, the transmission errors and malfunction of devices also necessitates checking the reliability/veracity of incoming data. The volume, velocity, and veracity are three Vs that are commonly describe in the big data context. Creating a meaningful real-time visual summary of the sensor data streams for the operators is an important research problem.

A fuzzy logic based alert propagation system for temporal tracking of clinical samples

Clinical logistics has more than 20 years of experience in providing clinical samples to some of the largest pharmaceutical companies for the clinical studies. These samples are mainly used in clinical studies for research and development of new drugs. Thus the quality and timely provision of sample is of utmost importance. Currently the operation of clinical sample collection and management is performed manually. This makes the operation error prone and limits its scalability.

An investigation of the effectiveness of competency-based management implementation

Competency-based management (CBM) is an approach to human resource management (HRM) that has grown in popularity over the years. CBM involves objectively defining the necessary competencies (defined as job-related knowledge, skills, abilities, and other attributes) to effectively perform a job, then integrating this framework into the organization’s HRM processes. While this approach makes sense in theory, there is little hard evidence available about its effectiveness for organizations.

Integration of microbiological and geochemical tools for de-risking oil and gas exploration along the Scotian Margin

This Mitacs project will enable two MSc students the opportunity to work with the Offshore Energy Research Association and their partners with the Nova Scotia Department of Energy to produce an ArcGIS product and seismic-based model of seep architecture for petroleum exploration of the offshore Nova Scotia margin. These projects will relate newly created genomic and lipidomic data that is expected to help de-risk offshore exploration efforts. The Interns will use these data to produce maps and 3D models of the seeps

Classification of human activities and detection of behavioral anomalies using thermopile sensor and machine learning

Impending increase in senior population in developed countries is expected to overwhelm the health care system carry a significant social and economic cost. Number of solutions, that leverage ambient intelligence, have been proposed to help aging in place. HomeEXCEPT is working on a non-intrusive solution using a temperature sensor. The research will help in identification and classification of human activities, including fall detection. It will also help in uncovering patterns in daily activities of an individual and in identification of deviations from the usual behavior.