Software requirements play a critical role in safety-critical cyber-physical systems as they are the foundation for designing, implementing, and testing of the software systems. Due to limited budget and time constraints, software requirements in a commercial setting tend to have unsatisfactory quality, which complicates downstream development activities. Prior research identifies dozens of quality attributes of […]

Cardiac PET is a powerful tool to assess heart function. One measure from a Cardiac PET study is left ventricle ejection fraction. This is mainly estimated through gated reconstructions of relative perfusion imaging and segmentation of the left ventricle myocardium. However, direct estimations of left ventricle volume and thus ejection fraction can be obtained by […]

Training artificial intelligence and machine learning (AIML) models requires a large amount of data. However, access to data for AIML projects has been problematic in practice, largely due to privacy concerns. One approach to enable data sharing and data access is to anonymize the data. However, in the Canadian context, a national standard and a […]

The project focuses on transforming clinical documentation with advanced AI, specifically Large Language Models (LLMs), to alleviate the burden on healthcare professionals. Aimed at improving efficiency and accuracy, the strategy involves creating an AI-powered charting assistant that seamlessly turns clinician-patient interactions into standardized clinical documents, offered as a subscription-based SaaS platform. Initiatives include fine-tuning LLMs […]

Agriculture and Agri-Food Canada has initiated a program to reduce fertilizer N2O emissions by 30 % from 2020 to 2030 [14]. Accurate monitoring of agricultural N2O emissions is crucial for understanding their environmental impact and implementing effective mitigation strategies. Current research mainly focuses on measuring N2O emissions from the ground. The spectroscopic-based LI-COR sensor is […]

The goal of this project is to use advanced technology, specifically a type of Artificial Intelligence (AI), to process educational content. This allows us to create personalized learning experiences for students in a secure setting. Over time, this unique learning tool will become an essential resource, encouraging students to explore and gain knowledge on specialized […]

Apption is an established data and software services provider, with a track-record of sucessful product incubation and commercialization. Apption is planning to reinvest in marketing initiatives, hoping to drive growth of our professional services in the data and AI space as well as our related AI-product offering: Datahunter. Datahunter automates data cataloguing and management tasks […]

This project will recommend strategies for deploying and scaling a training program to support commercialization skills for biomedical researchers.

Photonic technologies offer promising prospects for quantum information processing and simulations. Quantum states are usually encoded in photonic degrees of freedom like polarization and spatial modes, enabling the mimicking of target evolutions via a number of devices linearly growing with their temporal extension. This constraint intrinsically makes them lossy and inadequate for extreme quantum dynamics, […]

Today’s Canadian children and youth are bigger, weaker and less fit than they were a generation ago. Only 5% of children and youth meet the recommended Canadian Physical Activity Guidelines while spending 8.6 hours per day in sedentary pursuits. These results suggest that Canadian children today do not have the capacity to achieve and maintain […]

Centered on airport operations, this research utilizes open flight data from multiple airports as a focal point. Collaborating with Aurrigo, the project aims to optimize data acquisition from open sources and construct, train, and thoroughly assess machine learning models for forecasting future airport operations. These predictive capabilities will play a pivotal role in informing decision-making […]

The emergence of high-harmonic generation in solids has opened the door to countless new techniques for attosecond control in electronic devices. Simultaneously, quantum materials have become increasingly important for next-generation technologies that exploiting quantum mechanics for computation or sensing. Of particular interest is the family of 2D semiconductors, which are known to host an interesting […]