Image Enhancement for Color Deficient People

I have been recently graduated from the School of Electrical Engineering and Computer Science of University of Ottawa. I did my PhD in Image Color Processing, and I found out the available position with Irystec Company is fit to my knowledge and experience. As a PhD candidate, I had the opportunity to gain extensive experience […]

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Accelerating Phase Unwrapping

The project aims at enhancing performance and efficiency in InSAR (Interferometric Synthetic Aperture Radar) systems. Such systems are used to measure displacement or deformation of any object on earth. Both environmental and industrial studies can benefit from projects like this, as it will help them make decisions based on a more realistic view of current […]

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Security assessment of mobile financial services

Information technology rapid evolution was always closely followed by sophistication of malware. And with ubiquitous shift to mobile platforms, rise of mobile malware and in particular banking malware came as no surprise. In general, any financial operation on a mobile platform potentially exposes a user to the variety of threats including data leakage, theft and […]

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Advanced Analytics for Credit Unions

The worldwide data explosion would emphasize on importance of knowledge discovery from massive, heterogeneous, and dynamic volumes of information (Big Data). Similar to other industrial organizations, Credit union industry deals with massive amounts of structured (e.g. customer demographics and transactional data) and unstructured (e.g. email, social media data, comments) data which they have not utilised […]

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The design and evaluation of a wearable technology as an effective tool for promoting early childhood physical literacy development

With childhood obesity and inactivity on the rise at an alarming rate, many government, education, and health agencies are promoting the development of physical literacy to combat this “epidemic.” The concept of childhood physical literacy refers to the development of fundamental movement skills that permit a child to move confidently and with control, in a […]

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Applying Deep Learning to Optimize 3D Pose Estimation from Monocular Video

REP is an athlete development platform for building better, and healthier athletes. Inside the REP platform are computer algorithms that can “see” how people move, and the accurately estimate how they are moving in three dimensions. The REP platform can then compare models of how you move, to models of how experts move. This comparison […]

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Portable Web-based GIS to Improve Deployment of GPR Investigation in the Field

Prior doing any type of construction that causes soil disturbance (digging, trenching, etc.), it is imperative to acknowledge which infrastructures such as water ducts, sewerage, electricity cables are buried. The GPR approach is recognized as performing to obtain the location and depth of underground objects but it shows some drawbacks. The proposal is to improve […]

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Investigating how user interfaces impact scalable network displays

IOT technology is a brand new, and rapidly growing field. Currently, there are no best practices published in the design of real-time, dynamic network displays. Our project focuses on developing and testing new business processes, user personas, and design-guidelines associated with these types of displays in a real-world environment. The findings from this work will […]

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Data supervision and security in large data repositories

Ensuring data security in large data repositories is a challenging task as the volume and the nature of the data to secure constantly evolves. Large repositories are mostly composed of documents expressed in natural language and as a result they are a rich source of information. Given the importance of personal data protection, this proposal […]

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Three-dimensional Object Pose Estimation

Estimating poses of three dimensional (3D) objects is of great importance to many high level tasks such as robotic manipulation, scene interpretation and augmented reality. Detecting poorly textured objects and estimating their 3D pose is still a challenging problem. The objective and expected result of this research is to develop a systematic and applicable approach […]

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