Quantifying gas phase chlorine compounds in sewer system headspaces

The presence of chlorine-bearing compounds in sewer headspaces is a potential risk to personnel and can cause decay of valuable infrastructure through increased rates of corrosion. There is however little information available on their speciation and concentration in these systems as standard methods for sampling them from sewer headspaces do not exist. In addition, the […]

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Dreamcatcher Informatics: a Web-based and Mobile Information System to Support Land Management, Consultation, and the Preservation of History, Culture and Traditional Ecological Knowledge

The two goals of this project are to: 1. create a demonstration information system based on an existing system called Dreamcatcher for consultation, land-use, occupancy, and planning based on the archival material of the Mississaugas of the New Credit First Nation (MNCFN); and 2. use this system and First Story to preserve and promote Aboriginal […]

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Hybrid quantum-classical multiple kernel methods for machine learning

Quantum computers are well-suited to a subset of machine learning tasks known as supervised learning (SL). In SL, a model is trained on labelled data to generate correct labels for novel data thereafter. Robust classifiers can be achieved in SL by using the “kernel trick”, which provides a more expressive metric from a transformed point […]

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Improve customer data warehouse creation

We are seeking someone who can work closely with our founding engineers to enhance the various methods we collect and process data from customers. Specific tasks will include conducting secondary and primary source research on data sources of interest (data silos). Tasks will also include producing validation that data sources can be ingested from customer […]

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Prototyping Tiny Homes for Affordable Housing in Cambridge

In response to the current housing crisis, we are studying the effectiveness of tiny homes as a solution to transitional housing for housing insecure persons in the Region of Waterloo. We have completed an earlier phase of this research which produced a Tiny House prototype and propose to continue this research through the following two […]

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Process mapping and documentation at Eclipse Automation: Balancing standardization and flexibility in an engineer order-to-order operation

The research will document process knowledge that is currently held by individual employees. The main objective is that this personal knowledge about processes can be shared and used to create standardized documents which, as a result, can improve coordination and collaboration. The documentation work will include reviewing existing organization’s documents, engaging personnel in series of […]

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Public Projections of the Living Architecture Systems Group

The research project bridges across international architectural exhibitions using nextgeneration dissemination venues, including online and physical screenings. The project includes the immersive architectural environment Grove and its associated CGI film Grove Cradle. The film was created for the 17th Venice Biennale of Architecture as a collaboration between Professor Philip Beesley of Canada, Warren Du Preez […]

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3D in silico modelling of prostate cancer growth and treatment

Prostate cancer is a prominent cause of death in Canada. A better understanding of how prostate tumours grow and respond to treatment is vital; however, typical lab methods used to study cancer have key limitations. To compensate for these shortcomings, computational models have revolutionized the study of cancer. This research proposes modifying an existing 3D […]

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Optimal Planning of Microgrids under Uncertainty

Utilizing advanced tools for optimal planning of Microgrids with high renewable energy penetration. Our models would be robust to handle uncertainty in supply, demand and technological changes. The inputs to our model would be demand, supply data (meteorological data) and technological costs for the specified location for the past. Statistical analysis of the data would […]

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Structure-Activity Relationships of Hafnium Dioxide Nanoparticles for Cancer Radiotherapy and Imaging

Nanoparticles made from hafnium dioxide (hafnia; HfO2) have emerged as a potential enhancer of cancer radiation therapy. Such nanoparticles allow for reduced doses of radiation to be used on tumors, sparing healthy tissue from side effects without reducing its anti-cancer effects. However, despite their potential, it is not yet known how different nanoparticle properties, such […]

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