This research will aim to optimize Energy Conservation Measures (ECMs) selection, through an optimization algorithm to be implemented on an online building energy auditing platform. The initial estimates shows that the platform can reduce audit time and cost up to 70% and offers detailed live results for multi-unit residential, commercial, and institutional facilities. This platform […]

Project Blinkem is a novel approach to visible light communication, which aims to create a low-cost, scalable, and secure framework using existing technologies. The project proposes encoding data into Infrared LEDs, which can visually communicate with high-resolution image sensors on HMDs as well as a high-speed optical module. By leveraging the security benefits of visible […]

Transport infrastructures are the backbone of our society and bridges are the bottleneck of the transport network. Climate change resulting in higher corrosion rates, and extreme climatic events are important threats to the reliability and safety of the transport network. This has led to growing concerns for the remaining service life of infrastructure under normal […]

Le taux de participation de la main-d’oeuvre autochtone est nettement inférieur à celui des non-Autochtones et les barrières à l’emploi persistent. Des recherches précédentes ont permis d’identifier les meilleures pratiques liées au recrutement, à l’insertion et à la rétention de la main-d’oeuvre autochtone au sein de l’industrie minière. Celles-ci sont majoritairement déployées là où le […]

The intern within this position will work with Indigenous Clean Energy (ICE) to help co-design resources for Indigenous governments, such as research protocols, that will identify Indigenous Nations strategies for offshore wind development approaches to Indigenous Energy Justice to benefit diverse Indigenous seascapes. Additionally, this position will be responsible for coordinating and executing meetings and […]

Everyday, hundreds of new vulnerabilities are discovered and disclosed to the users of the systems they affect. The sheer volume of vulnerabilities makes it difficult, if not impossible, for system administrators to rapidly address every vulnerability. Furthermore, research shows that only 5% of vulnerabilities are eventually exploited. This situation brings about a need to prioritize […]

With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will deliver a model compression and […]

Nowadays, our data is stored and processed in the cloud, and there are increasing privacy concerns. Federated Learning (FL) has recently emerged to allow users to keep their data private and collaboratively train machine learning models. To ensure that no client data can be revealed, there are multiple challenges in designing a system to be […]

Savyn offers digital therapies based on Eye Movement Desensitization and Reprocessing (EMDR) and written exposure therapy, which are digitized and adapted versions of existing therapy protocols provided in person to heal trauma and PTSD. Savyn offers access to patients and clients who have PTSD but cannot get the help they need due to a shortage […]

Most recent animated films such as Peter Rabbit 2 or DC League of Super-Pets come to life with many hairy and furry characters. In this project we will build on recent advances in computer graphics to develop better tools for grooming hair and fur. We aim to improve the experience of artists in the animation […]

This research project is a collaborative effort between the University of Waterloo and Oceana Canada and is guided by several core objectives: 1) To define, compile, and assess best practices (BPs) that are commonly used for reducing plastic production in selected international jurisdictions; 2) Explore and examine the mechanisms, barriers, policies, policy instruments, etc. that […]

GestureLogic is building a product that optimizes athletic performance. The product is a wearable sensory network that monitors muscle activity. The goal of this research is to take this inherently complex muscle data that is acquired by the sensory network and translate it to useful biometrics for the consumer with the help of intelligent algorithms. […]