Parents, teachers, administrators, and senior governments all recognize the importance of K-12 Computer Science (CS) education in preparing tomorrow’s citizens for both future job opportunities and social issues caused by information technology. For example, Ontario’s 2020 math curriculum adds both coding and Social-Emotional Learning (SEL). McMaster Start Coding (http://outreach.mcmaster.ca) is one outreach program who has […]

Fiddlehead Technology is taking the art and science of predictive forecasting to a new level, working with machine learning to find elegant solutions to some of the fast-moving consumer goods (FMCG) industry’s most complex problems. Fiddlehead is employing big data analysis and forecasting to revolutionize the food and beverage supply chain, solving the hard problems […]

E-SMART commercialise un produit qui offre aux flottes de camion une façon innovatrice d’assurer la conformité aux panneaux de limite de vitesse de leur véhicule. Les principaux clients sont des flottes de camions aux États-Unis et aux Canada. Pour contrôler la vitesse du véhicule, E-SMART s’interface directement entre la pédale d’accélération et l’ECM d’un véhicule. […]

AI tools based on deep learning has recently been suggested for many complex problems where a large amount of data is available. We will be working similar AI tools but problems from very different domains, namely, airport delay management after disruption and predicting prices of fresh produce under challenging climate conditions. Establishing a recovery flight […]

The goal of this data project is to architect and integrate XYONs key data sources from disparate systems into one central repository or EDW (Enterprise Data Warehouse). Using enterprise-level data extraction transformation layer (ETL) integration, the aim is to connect our e-commerce platform to ERP, CRM, and our API gateway, which connects to a multitude […]

While there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for sepsis prediction in children. Pediatric sepsis is a major cause of mortality of children worldwide. However, there is still a lack […]

This research project focuses on improving the analysis of hyperspectral images, which capture images with many narrow spectral bands. Hyperspectral images have many challenges due to their high dimensionality and data redundancy. To overcome these challenges, the researchers aim to develop an advanced intelligent analytics framework for hyperspectral dimension reduction (HDR) using disentangled representation techniques. […]

The main goal of the project is to discover if program analysis approaches can be adapted to the context of Gradle build systems. Thus, during the research it is planned to implement support for Gradle build systems within an existing program analysis toolchain that have been developing at the University of Waterloo. (currently specific to […]

The goal of this project is to explore how cloud-based processing of image data can be utilized in real-time robotics applications, specifically in advanced object tracking. The challenge is to balance the need for considerable computing resources with the cost of deploying such resources with each robot arm. This is where cloud-based processing offers a […]

L’objectif général du projet est le développement d’outils de prédiction des bactéries hôtes des phages par apprentissage automatique. Le premier objectif consistera à développer un prédicteur reposant sur les profils de méthylation dans les séquences métagénomiques bactériennes et virales, grâce à des réseaux de neurones avec des mécanismes d’attention, et des prédicteurs de similarité basés […]

This research project aims to create a system that allows users to communicate with a virtual environment using their voice. The system will convert the user’s voice commands into text and use natural language processing techniques to understand the user’s intent. Then, the system will generate 3D content based on the identified intent using AI […]

The project “Detecting Phishing Websites using Machine Learning Techniques” aims to develop a method that can accurately identify and block malicious websites. Machine Learning algorithms will be used to analyze various website features, such as URL, page content, rank and other indicators to determine if it is a phishing site or not. By identifying and […]