An Open Learning Environment for Smart Transportation

With the recent advances in artificial intelligence, applying deep reinforcement learning to improve urban traffic efficiency and reduce traffic congestion has been gaining increasing interest in both academia and industry. This research program aims at developing computational platforms to evaluate models and algorithms for the next generation traffic control and management strategies, such as autonomous […]

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Tribo-electrostatic Separation of Potash

Over two years a post-doctoral fellow will investigate the electrostatic separation of potash. This will be accomplished experimentally by triboelectrically charging different materials, with and without conditioning agents, and then testing different separation techniques. Separation techniques will include electrostatic separation and a fines removal process. Electrostatic separation implementation in Saskatchewan may have multiple advantages, when […]

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Advanced differential mobility mass spectrometry with electron capture dissociation for the characterization of therapeutic proteins – Year two

Many new pharmaceuticals are based on large biomolecules like proteins. Even small differences in the protein structure can cause significant changes in the efficacy and safety of these drugs. Furthermore, these large molecules are difficult to characterize without advanced instrumentation and methods. Current technologies still struggle with robustness and reproducibility. This study aims to introduce […]

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Reducing Social Isolation Through Better Transportation Options for Seniors

Seniors may experience social isolation when they lose the ability to drive their own car due to the loss of access to services and opportunities to socialize. I will examine the role of public transportation in reducing social isolation for seniors in Metro Vancouver. With BC’s aging population, the transportation needs of this demographic will […]

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Development of instruments and methods engineered to mitigate the impact of non-tissue specific background sources for intraoperative spontaneous Raman spectroscopy applications

The interns will develop novel technologies using laser light to interrogate molecular vibrations in biological tissue setting up the stage for the next generation of intraoperative imaging techniques used to guide surgical interventions, including the resection of tumours in prostate and ovarian surgery as well as in neurosurgery. The partner organisation (Optech) is an organisation […]

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Detection of Mental Health Conditions from Textual Device Communication

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset […]

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Improving the properties of active pharmaceutical ingredients by polymorph, salt and cocrystal screening

Solids exist as crystals, amorphous or subcooled liquids. The degree of crystallinity determines the long range order in a solid phase. Molecules when transferred from the solution to the solid phase may take many different crystal forms (polymorphs, solvates/hydrates, salts, co-crystals). Theoretically, there are 230 space groups describing the diversity of a crystalline material. About […]

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Development and characterization of graphene/glass fiber/polyester composites

Polymeric matrices containing nano-size additives have demonstrated remarkable mechanical, electrical, and thermal properties when compared to their micro-composite counterparts. Inserting graphene in a polymer matrix consisting of a glass fiber-reinforced resin is assumed to significantly increase the material electrical conductivity, which is needed in order to fulfill electrical conductivity requirements traditionally met by carbon black […]

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