La planification des horaires médicaux est un défi complexe pour les établissements de santé, confrontés à l’incertitude des arrivées de patients, à la variabilité des temps de traitement et à la nécessité d’optimiser l’utilisation des ressources. Les méthodes de planification classiques atteignent leurs limites face à cette complexité, ce qui entraîne des temps d’attente prolongés, […]

This research explores the creation and study of a prototype controller with integrated thermal feedback (hot/cold tactile output). This type of device has not previously been explored or understood deeply in academic Human-Computer Interaction or Games User Research Literature. The controller with integrated thermal feedback will be evaluated in a simple 3D game and compared […]

WizeWerks is developing a cutting-edge AI-powered platform to help businesses streamline financial document processing. Designed for SMBs and enterprises in transportation, logistics, and finance, the platform automates the extraction and organization of key financial data from unstructured documents like invoices and rate confirmations. Using a state-of-the-art Large Language Model (LLM)-agent, it enables users to interact […]

This project aims to create a training system for laparoscopic procedures focused on gynecological surgeries using a 3D-printed torso phantom. The mannequin features apertures for inserting laparoscopic tools (trocars) and a camera, with visible 3D-printed organs inside. The goal is to develop a training module that integrates virtual anatomical models with real-world views using HoloLens […]

Bryan & Company LLP is a mid-size full-service law firm in Edmonton, Alberta, with a long history of community engagement dating back to 1928. The firm’s vision for its next 100 years is supported by a strategic plan designed to guide its operations from 2023 to 2028. This strategic plan (the first strategic plan implemented […]

Integration of R&D efforts produced from the Dalhousie Computer Science team in 2024 on AI Comparison capabilities for the application CODiii Rogue. Successful individual will be compiling an integrated python backend to a newly design UI with the injection of results from previous AI findings. In addition to the work outlined above, this project will […]

In many applications, Machine Learning (ML) predictions are used to make downstream decisions. Acting on ML predictions however can change the distribution of features that the ML model relies on for predictions. The implication is that such downstream decisions procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is […]

MedMe Health, a leader in pharmacy software solutions, is embarking on an innovative project to streamline patient data management through seamless integration with third-party Pharmacy Management Systems (PMS). This project focuses on creating a bidirectional integration between MedMe’s platform and PMS, enabling the automated transfer and synchronization of patient records. As the healthcare industry continues […]

This project uses machine learning algorithms to better understand back movement and low back pain. We apply supervised learning time series algorithms to data collected from Backtracks’ wearable de-vice — which consists of a malleable think curve that reads data collected from the participants’ spine movements. At each time step, such movements are represented as […]

As cyber threats grow more sophisticated, attackers increasingly exploit scheduled tasks to maintain persistence and evade detection. Traditional security measures struggle to distinguish between legitimate and malicious task executions, especially when attackers modify execution parameters. Additionally, identifying and attributing threats to known adversaries remains a complex and resource-intensive process, relying heavily on human analysts and […]

Quantum computing holds great promise in solving some problems that are intractable to its classical counterpart; however, current quantum devices are prone to errors, especially as they scale up. Our project focuses on developing efficient tools to detect and analyze these errors; we will construct an error map that characterizes where the different errors occur […]

This project aims to explore the potential of Quantum Key Distribution (QKD) for enhancing secure communication in distributed systems. A QKD environment will be simulated and quantum-generated keys will be integrated into a secure communication protocol. The project will involve building a simulated QKD layer and applying it to encrypt and authenticate messages in a […]