Detecting Attacks on Connected Vehicles

Attacks on connected vehicles require special attention and there is a need for new sophisticated security solutions that will cover the integration of different domains in connected vehicles and help proactively address potential threats to connected vehicles. The overall goal of this project is to provide various security solutions for integrity, access control, availability, and […]

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Adaptive Information Extraction from Clinical Patient Records

Among the applications of computer science in the field of health care and biomedicine, the processing of clinical patient records is one of the increasingly important topics for improving the Electronic Health Records (EHR) systems. A practical use of EHR systems is to help improve the decision making process for the physicians. The goal of […]

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Plugging Machine Learning into Mobile Cloud/Edge Computing

The central role of the Internet in modern society creates challenges of efficiency, flexibility, and security, especially as usage intensifies due to proliferation of mobile devices and the Internet of Things (IoT). Wireless network-based technologies such as Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC), introduce new challenges. In particular, shifting locations and hardware […]

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Quantitative Security Metrics in 5G Environment

The advent of 5G (fifth generation) telecommunication networks also brings new security challenges, in addition to many benefits to the community. Such is exemplified by its special nature of technology (as well as the new business model) and its deep involvement in people’s everyday life, hence more critical. We need proper security metrics to tell […]

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An Integrated Multi-Case Study Approach to Advancing Business-to-Business (B2B) Online Marketing Strategies In an Expanded Multi-sector Study with 15 Companies

Business-to-business (B2B) marketing is considerably different from the business-to-consumer (B2C) marketing. Marketing strategies do not necessarily translate from one segment to another. This is evident in the social media/online marketing arena where many of the strategies and tools have been developed primarily for B2C marketing which results in many B2B companies dismissing social media/online marketing […]

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A Multi-Case Study to Advancing Accounting, Financial Reporting, and Performance Management Strategies

The role of accountants, especially in today’s fast changing data-driven world, is continually evolving. Responding to the technological advancements as well as to the increasing amounts and complexity of data available, accountants need to develop skills that go beyond their traditional training. Businesses and their accounting departments need to be able to not only collect […]

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IoT Big-data-based network performance analytics

The main objective of the project is to upgrade the existing system at Cheetah Networks to make use of Canadian cellular CAT M1 monitored network data to develop innovative QoE analytics that can be used to provide actionable insights. The system will explore applying new techniques to capture in real-time QoE visibility into experiences locally, […]

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Healing the body, healing the brain: Nutrition and exercise treatments for childhood neurodevelopmental disorders

In the absence of a clear set of recommendations from doctors for the treatment of neurodevelopmental disorders (NDD) such as fetal alcohol, cerebral palsy, and autism spectrum disorders, many parents and children affected by NDDs turn to unproven diet- and exercise-based treatments. While some research suggests that such interventions can boost brain functioning, very few […]

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Shipping Container Code Classification and Prediction

BlueNode is a SaaS company focused on the sanitation and analysis of marine shipping data. The research project is focused on increasing the precision and accuracy of shipped goods processed through Canadian ports. Should the research prove the be successful, the technical methods used with be directly incorporated into the BlueNode system.

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Network security and machine learning development projects

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

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Designing for AI/ML Human Interactions in Industrial Condition Monitoring

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency […]

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Meta-information Extraction from Large-scale Streaming News for Entity-level Media Intelligence and Reporting

Gnowit is an Ottawa-based information services company that employs artificial intelligence and machine learning to automate the process of monitoring web sources at scale to provide real-time briefings and notifications for the purposes of competitive intelligence, evidence-based policy research and media monitoring. The company currently monitors more than 40 thousand web sources and generates atleast […]

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