The ARGO Analytics Engine

For producers of film and TV, extending a brand into the digital space can be a daunting enterprise. Estimating how successful a Twitter campaign or an Alternate Reality Game has been in fostering the proliferation and audience goodwill towards a TV or Film entity can be a frustratingly inscrutable endeavor. Even if a campaign seems […]

Read More
Indoor Virtual Tour and Virtual Object Display in 360 Degrees

The proposed project implements the applications of virtual view of indoor environments and objects in 360 degrees, thereby encouraging people to check the information of rooms and products online during the COVID-19 pandemic. Specifically, six objectives are proposed, each undertaken by two interns, to build a virtual view system satisfying different scenarios. With collected indoor […]

Read More
TechImpact – Seyed Alireza Damghani

The company is currently focused on building a vibrant and growing Atlantic Canadianeconomy by using technology to unlock our region’s potential. COVID has impacted our day-to-day goals as an organization. As part of one of one of our projects, we want to create a full story around the barriers and opportunities to advancing digital transformation.

Read More
Real-time Bus Routing and Traffic Prediction Via Machine Learning-based Methods

With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for […]

Read More
Real-time Bus Routing and Traffic Prediction Via Machine Learning-based Methods – Year Two

With the development of advance telecommunication systems, new opportunities for real-time public transport monitoring has been created. Traffic congestion in the vehicular ad-hoc network can be typically caused by an accident, construction zones, special events, and adverse weather. This research presents a cognitive framework to address real-time routing problem and and arrival time prediction for […]

Read More
Advanced Crowdsourced Market Research and Reporting Using Machine Learning and Data Mining Techniques

Chaordix is a company that develops crowdsourcing solutions for a variety of clients in industry, universities and governments. In early 2009, it launched a commercial managed services platform for crowdsourcing, called Chaordix, which has firmly established the company as a crowdsourcing pioneer. At this point in time Chaordix provides a global standard in crowdsourced market […]

Read More
Anomaly detection and action recognition for mobile cameras

In this project we want to develop a few AI algorithms for the security and public health monitoring applications that can be implemented on a mobile camera. This camera can be either mounted on the autonomous mobile robot or on the wearable devices that security guards are equipped with. This project is aiming to solve […]

Read More
bridgeVUE – UX/UI research and development

Navigation at sea is a complex and comprehensive task. Combined with the challenges of navigating in heavy traffic, and avoiding dangers in low light and low visibility, it becomes considerably more difficult. This project, bridgeVUE, leverages an emerging technology to enhance marine navigation by contextualizing radar data over an individual’s field of vision, in real […]

Read More
TechImpact – Bushra Siaj

The company is currently focused on building a vibrant and growing Atlantic Canadian economy by using technology to unlock our region’s potential. COVID has impacted our day-to-day goals as an organization. As part one of our projects, we want to create a full story around the barriers and opportunities to advancing digital transformation.

Read More
Weakly supervised representation learning for sequential and composite actions.

Camera enabled AI-based personal assistants will need to recognize human actions in order to be safe and effective. Current machine learning approaches for action recognition require extensive datasets of annotated videos that depicting the actions to be recognized. Such datasets are expensive to acquire. The goal of this project is to decrease the annotation required […]

Read More
Augmenting Flight Training with AI to Efficiently Train Pilots

There is a critical shortage of commercial pilots in North America, in large part because pilots who are qualified to conduct such training are in very high demand. Delphi is an innovative Calgary-based flight training school that is using novel methods to improve student outcomes, increase retention of students, and scale student training to better […]

Read More
Obfuscation and Homomorphic Encryption in the Quantum Setting

Our research goals, which are a mix of theoretical and practical problems, are motivated by the practical near-term problem of delegating tasks to an untrusted remote quantum computer in a secure way. Toward this, we consider the notions of indistinguishability obfuscation for quantum circuits and quantum fully homomorphic encryption schemes. The former refers to algorithms […]

Read More