Solving large–scale non–smooth stochastic optimization problems

Machine learning focuses on writing computer programs that can ‘learn’ from data. This is becoming increasingly important, as we try to understand the huge amounts of complicated data we are collecting (both in academia and in industry). While machine learning is one of the key tools we use analyze large datasets, it often has trouble […]

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Co-liquefaction of lignin and lignite for aromatic fuels and chemicals

Due to the rapid increase in demand for petroleum and its declining reserves, the concern over energy security has intensified the interest in liquefying coal and biomass to liquid fuels and chemicals, especially for those countries which have abundant coal reserves, such as the United States, Canada, China, etc. Co-liquefaction of coal with biomass has […]

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Learning Algorithm for Quantum Error Correction

Using quantum mechanics to improve information technology has been an interdisciplinary exercise. The challenge in implementing quantum information technology arises primarily from the fragile nature of quantum systems under various noises. We focus on the problem of correcting such errors that occur in the superconducting quantum circuits, which is a promising candidate for realizing a […]

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Species tree inference from multi-labeled gene trees

Reconstructing the tree of life, which depicts the evolutionary history of today’s existing species, has been a central goal of evolutionary biology ever since Darwin. Each species is composed of a set of genes, which can be grouped into families. The DNA sequences of genes can be used to infer a gene tree for each […]

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Accords de Partenariat Trans Pacifique et libéralisation du marché laitier: impacts économiques sur le secteur laitier canadien

Avec les derniers accords, en matière de politique commerciale canadienne, il devenait nécessaire d’analyser l’impact économique de ces accords sur l’industrie laitière en prenant compte les résultats des travaux déjà entrepris sur ce sujet. L’objectif général de notre étude est d’analyser l’impact des réformes commerciales suite à l’AECG (Accord Économique Commerciale Globale) et au PTP […]

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Design and Implementation of Bio-Inspired Student Clustering Approach Based on Students’ Annotations on Web-based Reading Materials

When students read a book, they usually annotate important words in the text. Students may perhaps miss some important information while reading the book. If students are reminded about the potentially important annotations, they may achieve better academic performance later, in terms of having better marks for written exams, quizzes, and other learning activities. With […]

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Épreuves d’État et épreuves de la Police en Tunisie

À l’aube des «printemps arabes» de 2011, une série de conflits impliquant les forces policières sont survenus en Tunisie, en Égypte, en Libye et en Syrie. Ces conflits apparaissent parmi les éléments précurseurs de ces révolutions (Ashour 2013). Est-ce qu’un mouvement de contestation qui remet en cause la légitimité de la police, comme la dénonciation […]

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Santé mentale globale: Accroître la capacité d’intégrer la santé mentale dans les soins primaires en Tunisie

En Tunisie, la majorité des personnes vivant avec des maladies mentales ne reçoivent pas de traitement. Le Ministère de la santé tunisien et le bureau de l’Organisation mondiale de la santé (OMS) à Tunis aimeraient offrir la formation mhGAP (développé par l’OMS) à des médecins généralistes afin d’accroître leurs compétences en santé mentale et créer […]

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Secure Outsourcing of Storage and Computation

The rise of cloud technologies and the proliferation of mobile devices have revolutionized data storage and their processing. Amongst numerous benefits, cloud technologies offer a flexible way to outsource storage and computation to the cloud vendors. As a result, sensitive data often end up being managed on remote servers maintained by third party outsourcing vendors. […]

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Model selection for advanced statistical analysis of multiparametric MRI

Advanced quantitative multiparametric MRI techniques allow the imaging of tumor heterogeneity that was before only accessible by histology and the mapping of functional features not available to pathologists. This wealth of information is however difficult to interpret, even by experts in the field, because adequate analysis tools are missing. The combination of quantitative multiparametric MRI, […]

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Multidimensional Tactile Displays and their applications for Wearable Devices

Engaging with visual displays is not always feasible or desired. They could be absent in certain contexts due to their fragility, cost or high battery consumption. Visual attention could be engaged elsewhere in an activity or be impaired due to disabilities. With the rise of wearables that remain in constant, sturdy contact with the skin, […]

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Automatic Resizing Framework for Time-Varying Non-Space Filling Visualizations

We propose the development of an automatic resizing framework for time-varying visualizations. This framework would support easy deployment of visualizations on a multitude of devices with varying display sizes. The second objective of the project is to address issues of data is interpretation that could arise as a result of visualization resizing through the use […]

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