National ID Systems and Techniques of Population Control: The development of surveillance-assisted political economy from colonial to neoliberal times in Japan

My project investigates the colonial development of Japan’s national identification (ID) systems, and the transformation of those surveillance techniques in our digital age. National ID systems identify individuals with a centralized ID number, collect and use the different kinds of personal data for multiple purposes. Those ID techniques have spread rapidly in the “war on […]

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Measuring, Tracking and Improving the Effectiveness of SBL’s Youth Space-Jobs Program

This research project will track, analyse and examine the effectiveness of Success Beyond Limit’s (SBL) Youth Space and Jobs Program. Operating in a low-income and marginalized setting, youth that attend SBL’s programming find it difficult to secure (and keep) meaningful employment. This research project will capture those experiences of these young people, identify the barriers […]

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Utilization of Machine Learning in an Automated Framework for Evaluation and Management of Information Security Risk

During the internship in collaboration with RootCellar Technologies, research will be conducted towards the design of an adaptive machine-learning solution and its integration with the existing RootCellar framework for automated evaluation and management of information security risk in small and medium size enterprise networks. The existing framework is very advanced in terms of end-point risk […]

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Learning Approaches to Graph Structure Discovery

The project would explore the use of modern techniques from the field of Machine Learning to identify networks from observational data. This is an important area of research in fields such as neuroscience and genetics, where it can shed light on the nature of various disease. Other applications include discovering influencers and communities in social […]

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Online Learning of Gait Models for Fall Prediction

Meaningful parameters can be extracted from data that describes a person walking as time progresses. Gait asymmetry is one such parameter that has been shown to be correlated to the likelihood of a person falling. More generally, the variability in gait parameters can be used for human fall prediction. Currently, models used to describe gait […]

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Fluorescently-labeled nanoparticle target for imaging

There is currently a great need to develop better imaging probes for studying biological process. In this proposed internship, Drs. Pacheco and Hashir will be evaluated an aluminum coated alloyed quantum dot system. These quantum dots are brighter than organic fluorophores and with the aluminum surface coating, these quantum dots are less pervious to environmental […]

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Bridging the Gap Between CPUs and GPU with Out-of-Order SIMT

Most of today’s computers, from cell phones to supercomputers, are heterogeneous: they integrate processors that are optimized to quickly execute a few tasks (CPU cores), and processors that can perform many independent tasks in parallel (GPU cores). GPU cores and CPU cores have different instruction sets: they understand different languages. A task written for CPUs […]

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Advancing Big Data: Critical Analysis for Harnessing Heterogeneous Information

This cross-disciplinary project aims to investigate underlying philosophical questions in the acquisition, management and production of scientific big data. Big data analytics (BDA) continues to produce an overwhelming amount of information which can be challenging to make use of due to its size, density and complexity. BDA is ubiquitous in forecasting and decision making but […]

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Supporting Sustainable Architectural Conservation Practices

The proposed internship project deals with the compilation and preparation of relevant scientific content for the Association for Preservation Technology International (APTI) Technical Committee on Sustainable Preservation, which is currently developing an innovative “Online Sustainable Conservation Assistance Resource.” Also known as OSCAR, this tool is aimed at becoming an “interactive resource that establishes a clear […]

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Advanced anti-debug for web applications

Web based anti-debug is a critical technology prevent dynamic attacks to web applications within browser environments. Irdeto has developed a set of essential anti-debug techniques that are used for projects of POC and products for protecting web applications. The research is to understand anti-debug techniques from the public domain, is developed in house, and will […]

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Understanding the Youth Volunteer Market: An Evaluation of Professional Skills Developed through Volunteering with World University Services of Canada

WUSC is a non-profit organization in international development that works to provide education, employment, empowerment opportunities, which includes providing enhanced leadership and life skills opportunities for youth in Canada and internationally. This project will evaluate how two key programs at WUSC (Students Without Borders and the Student Refugee Program) contribute to the professional development of […]

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