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 […]

In the age of artificial intelligence, machines learn from vast amounts of data to make predictions and decisions. But what happens when we need them to “unlearn” something—whether to protect privacy, correct biases, or comply with regulations? Existing approaches to machine unlearning can be effective at removing specific data from a model’s memory, but they […]

The number of biomedical scientific publications available in multiple repositories is huge and rapidly growing. As of April 2014, PubMed, the largest knowledge source for biomedical and life science literature, comprises more than 23 million citations. Querying PubMed with the keyword HIV provides a list of almost three hundred thousand citations. Retrieving data of particular […]

This project will design and deploy a citizen-science game to harvest passages of language for a database to support Advanced Natural Language Processing.

Empawerpet (empawerpet.com) is pioneering the field of canine mental health diagnostics through their veterinary clinic-based biomarker testing platform. While they have established a foundation in biochemical analysis, they recognize the need to expand their diagnostic capabilities through a new AI non-invasive, accessible methods. The company is therefore interested in expanding their current clinic-based biomarker testing […]

PRISM is a proprietary LAMP stack-based platform developed by Levis Tech, a software development consultancy headquartered in Saskatoon. Serving as the backbone for approximately 90% of the company’s projects, PRISM represents over 15 years of accumulated intellectual property and technological advancements. This project focuses on enhancing key components of PRISM to ensure continued innovation and […]

Inpainting refers to the process of removing a foreground object from an image and seamlessly replacing it with consistent and contextually relevant background pixels. In the context of epilepsy neurosurgery, training videos are recorded using a microscope-mounted camera to document surgical procedures. However, surgical instruments frequently obstruct the camera’s line of sight, partially occluding brain […]