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 […]

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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 […]

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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 […]

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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 […]

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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.

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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 […]

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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 […]

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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 […]

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Middleware-Layer for Mobile Game Architecture

Mobile devices are well established at the heart of our digital lives. Today, these devices are utilized as personalized and enterprise application nodes. Moreover, mobile devices support ubiquitous access to data which even makes them a pivotal component in the deployment of applications such as online games. However, there are challenges that have plagued the […]

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Advanced Text Clustering Algorithm for Aircraft Applications

CaseBank provides a service called ChronicX™ to the airline industry for the purpose of detecting and managing repeat defects, i.e. faults that have eluded resolution repeatedly. Each night, airlines upload their raw maintenance records to the CaseBank server. ChronicX applies text mining methods to eliminate irrelevant records, and search for defects that are repeat occurrences […]

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Efficient Learning Methods for Multimodal Understanding

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]

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Developing m-health application framework

MedInstructional Resources Inc. focusses on providing turnkey solution for the education needs of the medical professions. Our current focus is on improving the reliability, agility, accountability and quality of medical student exams. The widespread adoption of mobile computing devices like tablets, offer the possibility to digitize the process of conducting student/patient exams in hospitals. MedInstructional […]

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