Multiple situations require cross-lingual searching: lawyers reviewing litigation documents; intelligence analysts data mining open source data; and patent attorneys investigating technical documents. To imitate cross-lingual search, people use online translation platforms to find the equivalent terms laboriously and then re-execute the query multiple times in various languages. The commercial search industry hasn’t seen much demand […]

In this project, we plan to study and improve the existing Best Tests section of the Clinician Portal from Alpha Laboratories. Best Tests provides metrics to clinicians that allow them to compare the effectiveness and cost of their test ordering patterns. However, the problem is that many of these comparison metrics are not easy to […]

Finance has experienced a significant increase in studies tackling issues related to Sustainability in recent years. The majority of them rely on third-party ESG ratings which are diverse, not transparent, and lack standardization. Our project aims to use text-mining techniques to identify ESG dimensions in sustainability-related documents and offer an automatic measurement across the ESG […]

For this project, we will develop the statistical theory to support, as well as a full functioning prototype for, a large-scale multidimensional data visualization application. This application, which will be fully scalable, will include an interactive user dashboard with customizable widgets. By taking a methodological approach to this type of research , along with an […]

The objective of this project is to develop and test a first aid training program using Augmented Reality (AR), a technology that superimposes computer-generated animations on a user’s view of the real world, in the context of lifesaving education. Education is an industry that is currently being transformed using the latest technologies. In the advancing […]

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]

This project seeks to build the body of academic understanding on how to effectively deliver a mental health skills-based intervention through a mobile app. The analysis will be done through retrospective and live analysis of the Resili app, a publicly available mHealth app which promotes strong mental health through the administration of a Dialectical Behaviour […]

Wearables are starting to include advanced haptic technology, touch feedback like vibrations, to help people create and listen to music, experience virtual reality (VR) environments, and improve accessibility for people who are Deaf or hard-of-hearing. Designing haptic feedback takes advanced knowledge about physiology and neuroscience that engineers and designers may not have access to. We […]

With the growth of the social networks and mobile gaming devices in recent years, the social gaming became an important part of the game industry. These social games provide huge amount of data about the users’ behaviors, an important issue for the gaming companies is to analyze this data and model the choices and behavior […]

Computer Generated Solutions (CGS) is developing a chatbot to train health-related customer support human agents. In this research, an intelligent sentiment-based chat bot is to be modeled and designed to act as a client to train the client-facing representatives who would be able to help clients more effectively. The main objectives of this internship are […]

[Reseach Abstract. Project Overview missing] simulation package available) to simulate a zooming system composed of tunable liquid crystal lenses that is capable of aberration correction. The first component of the project consists of simulating a liquid crystal lens in COMSOL. The liquid crystals rearrange themselves based on a space varying electric field created by the […]

Blockchain and distributed ledger technologies provide networks a method to ensure trust in the network while not relying on a central authority, or even any individual node in the network. Moreover, these technologies enable secure transaction and recording keeping within the network by using distributed consensus to verify the actions of users and cryptographically linking […]