Anessa offers software solutions for different stages in the lifecycle of a biogas plant. Solutions include feasibility analysis, feedstock planning and optimization, and monitoring. This proposal focuses on improvements and advances in the areas of optimization and monitoring. As a biogas digester uses living bacteria to transform waste materials into gas and fertilizer, creating and […]

Nova Scotia Health (NSH) is advancing healthcare by enhancing data management, optimizing decision-making, and improving patient care. This project addresses challenges such as administrative burdens, fragmented data systems, and limited predictive capabilities by implementing advanced data solutions for real-time insights, standardized data management, and predictive healthcare analytics. Through an agile, feedback-driven approach, these innovations will […]

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This study explores the use of an AI chatbot to support people with dementia in long-term care (LTC). Dementia affects memory and can cause anxiety, leading people to ask repetitive questions. The chatbot is designed to offer compassionate responses and emotional support. Using a collaborative approach, the study will involve residents, families, and staff in […]

This project focuses on using deep learning techniques and AI for medical image processing, optimizing these techniques to maximize efficiency and accuracy in processing large sets medical data. This project specifically aims to improve generalization and explainability of deep learning models used in medical imaging, focusing on medical image segmentation to explore how current medical […]

This project aims to develop intelligent control systems for robotic exoskeletons that can better assist human movement. Using artificial intelligence, specifically deep reinforcement learning, the project will train controllers in advanced computer simulations that model both the human body and the robotic device. Muscle activity signals (EMG) will be incorporated so that the exoskeleton can […]

La transformation numérique de l’enseignement supérieur transforme profondément les modes d’apprentissage et le développement des compétences des étudiants. Face à des parcours d’apprentissage de plus en plus diversifiés et à une forte demande de flexibilité, les universités doivent repenser leurs pratiques pédagogiques. Le microlearning, fondé sur des contenus courts, ciblés et accessibles à la demande, […]

Neurostimulation is a medical and scientific technique that uses small electrical signals to communicate with the brain, spinal cord or nerves. It can help researchers understand how the nervous system controls movement, and it is already used in treatments for conditions like paralysis or Parkinson’s disease. However, one major challenge remains: to work well, stimulation […]

Software developers and companies are increasingly adopting agentic AI to implement software features. In practice, developers guide AI agents through explicit instructions that specify, for example, how to navigate the project, identify relevant source files, and test the generated code. Without such instructions, agents may blindly perform implementations leading to incomplete or incorrect results. While […]

Challenges in today’s Intensive Care Units (ICUs) involve the management of patients’ life critical physiological systems. ICUs must constantly make fast and personalized treatment decisions (e.g. ventilation settings, fluid management, and vasopressors) that require constant monitoring, patient specific response predictions, and real time decision support. This project explores the use of Cellular Discrete Event System […]

This research project aims to advance the development of reliable, interpretable, and causally grounded Artificial Intelligence (AI) methods by integrating neuro-symbolic reasoning into Large Language Models (LLMs), with a specific application to energy storage systems such as lithium-ion battery systems. While modern LLMs demonstrate impressive linguistic capabilities, they remain limited in their ability to reason […]

The proposed project aims to develop and validate a computational method for estimating how brain tissue moves and reacts to surgical tools using only videos captured from a microscope. The student will test both classical and modern deep-learning optical-flow algorithms, adapt them to the specific challenges of microscope imaging, and evaluate how well they can […]