Online Job Scheduling and Risk Handling in Job Queues

This project is concerns the development of a real-time computational, probabilistic algorithm or artificial intelligence to predict when a scheduled job in a mobile workers job queue is at risk, given the type of jobs in the queue and the historical durations to complete them. In addition, consideration must be given to traffic patterns, and […]

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Maritime Domain Awareness: A Service-oriented Analytic Framework

Maritime situation analysis is critical for dynamic decision-making in responding to real-world situations. Rapidly unfolding situations that pose an imminent danger or threat to critical infrastructure or public safety require interactive decision-making to enable a swift response. The main objective of this project is to design a robust methodical framework for the development of intelligent […]

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Development and application of molecular tools to assess the acute and chronic impacts of petroleum hydrocarbons on birds

The Northern Gateway Pipeline and similar projects propose to transport oil from Alberta to tidewater terminals in British Columbia and eastern Canada. Accidental release of petroleum distillates and related by-products would have consequences on the marine ecosystem. To evaluate spill implications for seabirds, we propose to develop and apply molecular tools to assess toxicological and […]

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Improving usage pattern quality by comparing different sequential pattern mining methods and the effect of considering additional user information

Frequent usage patterns generated can provide valuable information for several applications such as platform restructuring and recommendation. In this project, we aim to compare different practical methods, and to investigate the effect of user identity and user intention information on them. To that end, a technique and a framework need to be developed, in which […]

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Statistical and Physiological Beat Modelling of Seismocardiogram Signal

“Seismocardiogram (SCG) is a signal that is captured by placing an accelerometer on the human chest. This signal captures very important timing information such as opening and closing of the heart valves. In addition to these timing information, the non-invasive nature of this signal makes it an attractive solution for remote monitoring of patients with […]

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Statistical and Physiological Beat Modelling of Seismocardiogram Signal – Year 2

“Seismocardiogram (SCG) is a signal that is captured by placing an accelerometer on the human chest. This signal captures very important timing information such as opening and closing of the heart valves. In addition to these timing information, the non-invasive nature of this signal makes it an attractive solution for remote monitoring of patients with […]

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Developing Prediction Models on London Stock Exchange (LSE) Equitiesand Indicies using Microsoft Azure Machine Learning and Data Mining

I am to import ten year’s worth of amassed historical data on news events, price movement of equities and public sentiment metrics to Microsoft Azure platform for study and analysis through the latest Data Mining techniques with an Economics point of view to uncover the hidden correlation and casualty between events and price movement of […]

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High Efficiency PFC Rectifier using Wide Band Gap Power Device

The energy-hungry telecomm industry is in need of power supplies with ever-increasing efficiencies to conserve energy and reduce carbon footprint. In collaboration with the industry partner, the proposed research project aims at developing a power factor correction (PFC) system, an essential component in a telecomm power supply, for achieving efficiency of 99% or above. The […]

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Rethinking Seafood Production: Developing Sustainable Communities with Land-Raised Fish

Tides Canada strives to connect researchers and initiatives across the Canada to take on tough social and environmental challenges. The program support of Tides Canada will bring high-level research from the three interns under the guidance of Mark Roseland, an expert in sustainable community development. Our collaboration will unveil new resources for Tides Canada’s community […]

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Large Consumer-Generated Data Optimization and Prediction

The proposed research aims to target large-scale consumer-generated data to analyze, visualize, and make predictions out of. The data will be collected from the consumers to make assessments on their lifestyles, and will come in forms such as heart-rate variance, that is, being temporal data. Researchers with visual analytics background will apply new visualization techniques […]

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Community land-use planning on First Nations reserves and the influence of land tenure: A case study with the Penticton Indian Band.

Tenure, the distribution of resource rights and responsibilities, is a central issue for First Nations’ management of lands and resources. The focus of this research project is the historical and contemporary land management implications of policy that created individualized land tenures on First Nations reserves. This project is in partnership with the Penticton Indian Band […]

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