Integration of Machine Learning and AI Based Optimization from IoT Datastreams and Business Information Systems

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. Recently there has been much interest in application of such technologies to improve agricultural practices. The sensors that are installed in the field transmit real time data regarding numerous environmental variables […]

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Workplace Resilience Training: Evaluating the impact of the Be Fit at Work program on individual and organizational outcomes

This research has two main foci: (1) resilience and resilience intervention and (2) workplace dignity. The first main focus of this project is to evaluate Air Institute’s current evidence-informed Pathway to Resilience program, specifically their effectiveness in impacting the key resilience factors targeted in each workshop. This research will also examine data in order to […]

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Tracking community movements through real-time visualization and predictive analytics to manage the spread of COVID-19

As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, […]

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Daily Question Assessment Methodology: The Development and Validation of Industrial-Organizational Constructs and Methodologies for Business Intelligence Application

Many well-constructed, validated survey instruments in the field of industrial/organizational psychology are lengthy and complex to score and interpret. This is a significant issue as the intent of developing survey instruments is for their translation into industry practice. Short form survey instruments are becoming an increasingly common alternative for collecting data (Fisher, Matthews, & Gibbons, […]

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Using a mobile application to support at-risk student re-entry into post-secondary education in the era of COVID-19

The aim of this 2-year project is to do research to inform the development of, and fully test and develop a mobile application designed to improve the experience of (particularly at-risk) post-secondary (PSE) students in addressing COVID-19-related issues. Our key concern is that COVID-19 has not only disrupted important and significant developmental experiences that improve […]

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Investigating the use of various methods of marketing collaborations, and their success criteria and limitations, of business-with-business and business-with-influencer collaborations in North America.

3337962 Nova Scotia Limited (www.outsparkai.com) is a startup dedicated to help businesses scale, particularly with marketing intelligence. The continuing rapid growth in digital media adoption has resulted in a tremendous increase in collaboration based marketing. Influencer marketing, for instance, was predicted to more than double from $5.5bn in 2019 to $15bn in 2022. However, despite […]

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Setup for Success: Improving pathways for talent retention

There is a perceived talent supply and demand gap in Nova Scotia’s ICT and digital tech sector and recruitment is at top of mind for employers. Hiring new employees can be time consuming and costly, however a well-planned onboarding program can increase the proficiency of a new hire and increase retention rates. The objective of […]

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Success story ‘Cabot Link’ – Can luxury tourism development, and the inclusion of non-academic learning activities as a travel experience, help economically neglected regions in Nova Scotia to prosper?

This Research is an inspirational case study, addressing Nova Scotia’s challenged Tourism Industry, by investigating in an unprecedented tourism development in Cape Breton: The Cabot Links in Inverness Nova Scotia. Discovering the process in detail may inform and inspire, but also prevent similar projects from future delays such as those that beset one of the […]

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Retail Supply Chain Predictive Analytics

The project aims predict the demand of customers for small and medium size businesses. Forecasting models will be developed analyze historical data to understand patterns and correlations. Machine learning will be applied to determine how the accuracy can be improved over existing statistical methods, such as Fourier Regression Analysis which is commonly used in retail […]

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Building a Mobile Platform to Identify Factors that Impact Student Success and Mental Health Related to Their Living Arrangements

This research seeks to discover how matching roommates can improve the living experience, academic progress, retention and mental health of students. It would be carried out using automated questionnaires, interviews, focus groups, surveys to extract user information. The research would help build a platform that can successfully match students based on preferences to help them […]

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Exploring the Determinants for Start-up Success

Start-ups face several challenges throughout in their attempts to position themselves as goods or services providers. In fact, they can fail at different growth stages. Particularly, they terminate operations before their value propositions advance to solidified business models. Common causes of this retirement include lack of adequate market research, founder/management mismatch, lackluster competitiveness and innovation, […]

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Deep Learning based Real-time Object Recognition and Tracking for Immersive Training and Maintenance Applications

The immersive software market, which includes virtual, augmented and mixed reality, is expected to see tremendous global growth over the next five years as players from all sectors race to identify and capture market opportunities of the technology. This project investigates into the business and technical aspects of immersive training and maintenance applications by taking […]

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