High Performance Regular Expression Matching Using Parallel Bit Stream Technology

Regular expressions can be thought of as a mini programming language that has a general pattern notation that allows you to search texts for occurrences of string patterns. Recently, a prototype compiler for regular expressions was introduced that provided a 5x or better performance advantage over its closest competitors. The prototype implemented a novel new […]

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A semantic-based packet forwarding model for SDN

Software designed Networks (SDN), in particular OpenFlow and FORCES, encourage the writing of network protocols and policies as programs with the stated goal to make those programs ever more expressive, more predictable, more evolvable and more usable. Within the OpenFlow initiative, the level of programmability is expressed in a set of policy rules that are […]

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Charitable Gaming Platform Innovation and Enhancements

Charitable Gaming Platform Innovation and Enhancements The Lotto Factory was established in 2018 and has developed, tested, and deployed an online gaming platform for the charitable and not-for-profit sectors. This initial version of the platform has been adopted by more than 150 charitable and not-for-profit organizations allowing them to raise much-needed unrestricted funds online. Our […]

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Unlocking the EPIC potential to promote Precision Child Mental Health

The big problem in healthcare Is that that about 80% of medical data remains unstructured and untapped after it is created. It’s hard to handle this type of data for Electronic Medical Record (EPIC), it tends to be ignored, unsaved or abandoned, and therefore is not effectively used in medical treatment or research. It’s highly […]

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Generation of synthetic images of chest radiography with chronic obstructive pulmonary disease using artificial intelligence techniques

The main purpose of this research is to propose a strategy to generate synthetic chest x-ray images from data of clinical interest. The generated images should visually reproduce lung disease based on the selected input characteristics. This requires the processing and analysis of images using algorithms that identify the most relevant characteristics and variables to […]

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Transfer learning for semantic segmentation of fungal growth images to accelerate high-throughput fungicide development

There is a growing need to develop new crop protection products that are more effective against fungal disease and mitigate pathogen resistance. The fungicide product development process is time consuming and expensive and there is a great opportunity to reduce costs and time by using machine learning. In this project, an existing deep learning algorithm […]

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Data management on future hardware and cloud environments

Data management systems are the backbone of the modern society powering many impactful applications. As data volume and the need for fast data processing continue to grow, it is paramount for data management software to evolve and provide high performance. This in turn must be done by co-designing data management software with the underlying hardware […]

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EarlyDetect, a cloud based mental health screening tool – phase 2

The Chokka Center for Integrative Health is dedicated to develop an innovative and integrative approach to help patients achieve optimal mental health. Mental illness is the leading cause of disability in the world. Diagnosing mental health syndromes have proved challenging for clinicians. But it is essential to screen and diagnosis early to achieve symptom remission […]

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Developing machine learning tools for routine clinical EEG

The proposed project is part of a large-scale collaboration between SFU’s Behavioral and Cognitive Neuroscience Institute (BCNI) and Fraser Health Authority (FHA) in the domain of AI applied to clinical electroencephalographic (EEG) scans recorded and evaluated in the process of diagnostic workup in FHA’s public hospitals (n = 40’000). The key goal of the SFU/FHA […]

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Advanced Adaptivity and Personalization in Learning Systems through Collaborative Recommendations Year Two

Learning Systems are among the most popular e-learning tools in today’s education and training. Most e-Learning systems do not take into account individual aspects of learners (e.g., their goal, experiences, existing knowledge, learning style etc.).The primary goal of the proposed research is to offer rich adaptivity by combining information from a learner’s profile (e.g. levels, […]

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Vers une meilleure gestion de la sécurité avec la Fondation LOJIQ – Les Offices Jeunesse Internationaux du Québec: Gestion d’identités, classification des actifs informationnels, classification des incidents de sécurité.

La fondation Les Offices Jeunesse Internationaux du Québec (LOJIQ) explore de nouvelles approches de renforcement de la sécurité informatique et de la lutte contre les cybermenaces. LOJIQ travaille au quotidien avec plusieurs partenaires qui attendent d’elle une meilleure protection de leurs renseignements. Malheureusement les mécanismes actuels de sécurité connaissent des faiblesses relativement à la gestion […]

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