Investigating QUBO-Compatible Algorithms for Trading and Scheduling Optimization Problems

This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, […]

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An Optimized Generic Model of Radio Propagation through Vegetation

This project studies the propagating channel path loss in urban and suburban scenarios and how the foliage affects the channel efficiency in terms of path loss. The impact of different parameters such as leaf size, leaf type and trees density will be considered. The study includes the RET model, empirical models and theoretical models. Numerical […]

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Advancing Retail Analytics

The proposed research will develop enhanced clustering and segmentation algorithms of high dimensional data. Cozumo Technologies, a world leader in the real-time capture and transmission of point-of-sale customer data, will use the research to improve their existing models of customer segmentation and offer generation. It is clear that real-time handling of big data represents a […]

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Design of a self-adapting project management application

To be more competitive in the market, many companies are trying to speed up the quotation process and quote more attractive prices and have identified a need for support in the quotation process in order to reduce the quotation lead-time and ensure a higher level of accuracy in the cost estimations. In the case of […]

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A Virtualized Cloud-based Multi-Tenant Environment for Developing Software Defined Network Products

The proposed research will develop a virtualized cloud-based multi-tenant environment tor testing and developing software defined networking products on a national scale. Similar centers are being built in other jurisdictions (Japan, Europe) but this is the first such initiative in Canada. We are partnering with CENGN, which is a consortium of industry partners who wish […]

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A Flexible Next-Generation Network Platform

CENGN (http://www.cengn.ca/ ), the Center of Excellence in Next Generation Networking, is a newly formed tri-council funded center of excellence for commercialization and research (CECR) that will bridge the gap between research and commercialization, which is critical to building successful startup companies. CENGN is a consortium of industry, academic and research leaders who are putting […]

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Designing for complex IT environments based upon workflow analysis and managed field studies

CA Technology wants to design the right software products well. Their user interaction designers recently began interviewing end users in their workplace and developing archetypal descriptions of typical users called ‘personas’. The good thing about personas is that they encourage designers to take a people-first perspective, which is great most of the time. But, sometimes […]

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Designing a healthy lifestyle platform : Investigating the use of gamification to promote enduring healthy lifestyle choices

Past research has examined whether game mechanics can be used to motivate people to change their behaviour in the short-term. However, it is currently unclear how game mechanics can be used to motivate behaviour that persists long after people have stopped playing a game. This research project will explore how game mechanics, such as narrative […]

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Bulk Data Transfer among Cloud Data Centers: Online Algorithms and SDN Implementation

This project studies efficient online optimization algorithms for large-scale data transfer among data centers in a geographically-distributed cloud system, as well as their SDN (Software Defined Networking)-facilitated implementation. Big data analytics, content distribution, and various web applications (social networking, search engine) have become dominating applications on today’s cloud platforms. Moving bulk volumes of data from […]

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Liver cancer detection using recent advances in deep learning

Approximately half of today’s population will be affected by cancer during its lifetime. Knowing that the earlier cancer is detected, the better the life expectancy, accurate radiological detection can make the difference between life and death. Primary liver tumor, known as hepatocellular carcinoma (HCC), and secondary liver tumor (metastasis) represent, in aggregate, the second most […]

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IoT/M2M Network Capacity Planning Analytics

The Internet of Things is gaining popularity and it will enable the development of new applications that will be useful to businesses in almost any industry and in society. It is expected that more than 50 billion IoT devices will communicate via telecoms networks and will send an enormous amount of data. One major challenge […]

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