Development of Conversational Agents and Applications in Playful Environments

In this project, we propose an intelligent conversational agents prototype that provides meaningful, playful exchanges in different interactive settings. By taking advantage of the latest advances in artificial intelligence (AI) and creating a model founded on knowledge from social and cognitive sciences, we will build a series of digital avatars to test their interaction ability. […]

Read More
Open Data Guidelines and Policy

The intent of this project is to provide the policy and guidelines in support of the Districts Open Data program. The Open Data Guidelines and Policy will provide a framework for data governance across the organization, in order to improve access to and use of data to empower community decision making. Our objective is to […]

Read More
Assessing the impact of implementing the new draft regulation in Quebec Construction Code for thermal bridge calculation

From December 2021 all the construction projects in Quebec should follow new Draft Regulations Amending Quebec Construction Code. This research investigated the impact of the implementation of section 3 of the new code which relates to the envelope thermal resistance calculation by considering thermal bridges. During phase one the calculation method will be applied for […]

Read More
An electrochemical microfluidic sensor for cannabinoid detection

Cannabis legalization creates a pressing need to improve existing screening methods. Currently, the two devices approved by the office other the attorney general of Canada (i.e. the Drager 5000 and SoToxa) have not been embraced by the vast majority of police forces who deemed both options unaffordable, difficult to use and inaccurate. The present project […]

Read More
Investigating employees racial bias in the workplace using neurophysiological and behavioral measures

Research in organizational behavior studies suggest that racial discrimination and bias exist in the workplace. Although explicit forms of racism are in decline, new forms of racial discrimination (i.e., implicit and unconscious) continue to compromise the inclusion and diversity in organizations. One of the challenges that HR specialists face is evaluating employees’ unconscious bias. This […]

Read More
Size Spectra Modeling to Assess Productivity, Recovery, and Sustainable Levels of Community Harvesting of Eastern Canadian Marine Shelf Ecosystems

Off the east coast of Canada we observe some marine ecosystems that are still recovering from prior overexploitation, such as the Newfoundland sh elf, while other regions have witnessed recent expansion of fishing industries, such as the waters off of Nunavut. This project seeks to analyze trends in overall ecosystem health and to assess the […]

Read More
Discover anomaly signatures from time series data of telecommunication networks

Failures in a telecommunication network harm the communication quality. Once happened, if the system cannot solve it by self-healing, such anomaly may even result in serious problem and result in massive economic loss. In this project, we will design and develop a system to predict these failures in advance using the status values of the […]

Read More
Freight consolidation and container loading optimization

This project investigates a complex freight consolidation and loading problem faced by Frontline Carrier Systems Inc., a leading transportation and supply chain provider in North America. Frontline seeks to optimize their transportation costs by minimizing the number of trucks required to ship a set of customer orders within a finite planning horizon. The problem integrates […]

Read More
Liquid accelerated cold spray for copper deposition

The liquid accelerated cold spray (LACS) technology is an innovative process that uses a high-pressure liquid flow to accelerate metal and composite powders to very high velocities (above 500 m/s) so that, upon the impact on the substrate, they form a coating. Using a liquid instead of a gas as used in a traditional cold […]

Read More
Simeio: Anomaly Detection for Building Automation System – Year two

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

Read More
Metamaterials for Selective Spatial Solidification

Light and heat have been used to manufacture objects layer by layer in additive manufacturing technologies. In this project, sound is used to create object by interacting with build material. Wide range of material such polymer, composites, glass, ceramic and metal can be manufactured and the produced part has functional properties. The project introduces an […]

Read More