Design Automation and Optimization Using Artificial Intelligence

The goal of our proposal is to develop three automated processes in the field of construction using artificial intelligence. The first process is to develop a method that can convert two-dimensional drawings into three-dimensional models that can be further manipulated on a computer. The second process is to optimize the cutting of raw materials– such […]

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Developing Digital Brain Assessment Tools for the Home

Attention problems are common with aging and related disorders (like stroke) and are associated with poor recovery and quality of life. Many clinical tests of attention are not based on neurocognitive concepts and are limited to in person visits. The Dalhousie Computerized Attention Battery (DalCAB) is a theory-based, in-depth measure of attention that can be […]

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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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Calibration of the laser metrology system on theX-ray telescope Astro-H

The Canadian ASTRO-H Metrology System (CAMS) is a laser-based device that will be designed and built in Canada and flown in space onboard the x-ray telescope, ASTRO-H. The purpose of the CAMS is to accurately measure structural deformations of the telescope structure during observations so the scientific images acquired can be enhanced by removing 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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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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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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Mineral Reserve Weighting With Various Metrics

The partner company, Metals Economics Group, has been acquiring and compiling information and statistics on the global mining industry for over 30 years. With an increasing pressure on existing mineral reserves and declining productivity of reserve expansion through exploration and M&A activity, the reserves have become a target for increased scrutiny. From a comparative standpoint, […]

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Program Evaluation: Community Impact/Poverty Reduction

The purpose of this project is to assist a community non-profit organisation to build a comprehensive plan to evaluate its poverty reduction initiatives and activities. The agency partners with other non-profit agencies as well as with government partners, other stakeholders, and persons with lived/living experience. The purpose of the project is also to develop a […]

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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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Investigating the development and refinement of in-store community pharmacy safety practices derived from error-reporting and related incident data

Regulatory safety initiatives for Canadian community pharmacies have been rapidly evolving throughout the last decade and now feature requirements for expanding pharmacy offerings, implementing on-line error reporting, assessing quality improvement analytics, and incorporating comprehensive safety enhancement practices. With each province approaching this new regulatory environment differently, large-scale community pharmacy providers must navigate these complex demands, […]

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