Power transducer improvement for Etalim TAC heat engine

Etalim is a Canadian high technology company developing a breakthrough heat engine generating electricity from any fuel or heat source. The Etalim TAC (Thermal Acoustic Converter) is a unique technology that converts any high temperature gradient to electricity, with high efficiency (20%-30%) and simplicity. The TAC represents a unique class of device that combines principles of thermodynamics, high-amplitude acoustics, mechanical resonance and materials science in a unique way.

Visual Analytics for Interactive Exploration and Monitoring of Consumer Health Data at Molecular You Corporation (MYCO)

The business of Molecular You Inc. (MYCO) is to provide a comprehensive Personalized Medicine bioinformatic and health monitoring program for disease prevention, detection, and treatment that integrates “omics“ data with behavioral, and environmental data for customers and their caregivers. This project is part of a larger initiative that “seeks to innovate in the way people think about health”.

Operational analysis and optimization of the delivery of HIV treatment and care in Vancouver

The continuum of HIV care is highly complex. It includes prevention, testing, patient care, treatment, and support services. This project will help Providence Health Care utilise its limited resources to provide the best treatment and care for people living with HIV in Vancouver. Care for HIV patients includes antiretroviral therapy, treatment of co-morbidities, monitoring clinical markers of disease progression (CD4 count and viral load), and support services to ensure treatment adherence and retention in care.

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 systems and services for real-time anomaly detection in marine traffic, applied to large volume maritime surveillance operations.

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 health endpoints in selected seabird monitoring species, using a combination of laboratory and field research.

Human Thermoregulation and Technical Apparel

Nature of the work: This project will assess a novel lululemon clothing ensembles during transitions between differing environments.
Anticipated Outcomes: An optimization of the design of clothing ensembles for transitions between different environments is the anticipated outcome.
Relevance: The project will provide garments for Canadians to improve their health, safety and comfort during outdoor activities.

Software Framework for Smart Building Energy Audits

With more and more buildings being controlled by automation systems, one would expect their energy performance to be optimised. This is not the case however. Buildings can still go out of tune, and building operators can become overwhelmed by the alarms sounding from the automation systems, not knowing how to prioritize them. SES consulting is well poised to provide a “human in the loop” performance analysis service, leveraging their expert knowledge and the data from the building automation system.

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 on the data in order to grasp the insights and improve the model to interpret the data. The research problem is to relate measures of stress, recovery and mindful activities to the data obtained.

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 frequent patterns are composed of more refined analysis result instead of simple frequent sequences of basic operations over all users’ behavior.

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 global markets in multiple timeframes (three hours, daily, weekly, monthly and yearly).

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