Le projet de recherche tente de réduire l’impact de l’absentéisme et des arrêts de travail (chez le personnel de soins) sur la qualité des services proposés dans les hôpitaux. Pour cela, des emplois du temps optimisés seront générés à l’aide de nouveaux indicateurs. Ces indicateurs seront créés avec des algorithmes issus de l’intelligence artificielle à […]

Maplesoft markets Maple, the world’s premier symbolic mathematics processor, used extensively in education, research, and industry, and Maple T.A. (Testing and Assessment) a powerful online testing environment. The proposed project focuses on development of and research on educational applications of the software. Course content will be developed using Maple and Maple T.A. for core university […]

Coveo provides search and recommendation software for customer support systems in which customers can ask for help by entering a case description and, on the other side, support agents must find the solution. In this context, queries to Coveo are in the form of long texts describing a problem and potential solutions are knowledge articles […]

Founded in 2011, StreamScan is an organization specialized in computer security operational. The company is composed of several experts in the fields of management security incidents, intrusion detection, security audit, penetration testing, security governance, security breach detection and of artificial intelligence applied to cybersecurity. StreamScan’s expertise is used by many cyber-victimized organizations attacks. Its incident […]

The intent of this project is to address the high-speed electronic and photonic packaging portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. Packaging is of utmost concern with regard to achievable optical modem performance and eventual costs. Ciena’s optical transceiver performance and cost will be […]

The automotive industry contributes significantly to the Canadian economy as well as to the economies of many other countries, providing substantial employment opportunities. In recent decades, the sector has gone through significant restructuring with some countries like Canada unable to prevent declining employment and production figures. The general strategy of policymakers in Canada has been […]

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]

The aim of this project is to improve the user experience of clients ordering online on one the portals of restaurants working with UEAT. This improvement will be in the form of smart recommendations based on the restaurant, time and the user themself. This will be done with an emphasis on respect for user privacy […]

Le projet a pour but la création d’un indice de la santé numérique des restaurateurs ayant recours au service de UEAT. Grâce aux données que génèrent les systèmes implantés chez les restaurateurs, il est maintenant possible d’obtenir un portrait relativement fiable de la santé numérique d’un client de UEAT. Le filon principal du projet est […]

The online video-based tutoring industry is growing fast but there is a lack of interaction between student and tutor. Some survey studies suggest that interactive video-based tutoring like giving bookmarks, hints, nudges, and quizzes in between video lectures helps the student in improving concentration and learning. We propose an interactive video tutoring module which given […]

Prescribers rely on guidelines for appropriate use and prescribing of opioids. Currently, there are no risk prediction calculators available to quantify the risk of prescribing an opioid that uses a patient’s history and drug utilization pattern. Machine learning algorithms offer an opportunity to perhaps develop such a risk calculator as a result of the large […]

Artificial intelligence (AI) provides powerful tools to many acoustic related applications. This proposal aims at acoustic signal processing and analysis and its applications using AI technologies. In order for AI to make progress in understanding the acoustic world around us, it needs to be interpreted along with multimodal messages. Three subprojects, i.e., multi-modal acoustic scene […]