This proposal presents research projects to evaluate a new technology, Electrovestibulography (EVestGTM) that holds potential to objectively, quickly and quantitatively measure the severity of concussion, thus aiding in its diagnosis. EVestG signals are recorded painlessly and non-invasively from the external ear in response to a vestibular stimulus; they are the brain signals modulated by the […]

The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged […]

The overall objective of the proposed initiative is to develop a novel, automated and integrated field operation and berry harvesting system that will identify the root causes of increased loses; increase berry picking efficiency and product quality. Currently, there are 15 to 25% fruit yield losses during the harvesting with the existing commercial blueberry harvester. […]

Additional research is required to fully understand the effects of Capsaicinoids, a supplement that contains the active ingredient in hot peppers. Previous studies have demonstrated its ability to reduce appetite and weight. However, there is lacking information regarding the effects of this supplement on cardiovascular health and exercise performance. The intern will be responsible for […]

The proposed internship, developed between the University of Waterloo and Philip Beesley Architect Inc. (PBAI), will develop and validate prototypes for novel expressive interactive sculpture environments. The work incorporates human perceptual studies and machine learning techniques for generating models for perception and generation of affective expression within experimental architecture and installations, and systematically deriving the […]

The overall goal of this project is for the University science team at the University of Ottawa and University of New Brunswick to develop high quality Echinacea products for Canadian and world markets in collaboration with Amway Canada. One objective involves phytochemical and pharmacological selection and propagation of elite Echinacea from the historic Echinacea germplasm […]

The ‘Evaluating Risk and Return for Community Impact Investments’ projects seeks to engage one masters level student intern for one semester to work with the partners in designing a new evaluation tool or framework for the risk and return of community impact investments. The intern will gain an understanding of the investment policies and risk […]

Mobile robots equipped with chemical, radiological and explosive detectors are deployed during events where CBRNE materials have been dispersed; sending robots provides key reconnaissance data while reducing personnel exposure. Operators rely on camera views and on-board detectors to drive the robots using joysticks, and they have to control every aspect of the robot operation. Live […]

The project will develop a data mining strategy on how to efficiently use Geotab’s data from multiple sources to isolate network connectivity logs in Geotab’s data, interpolate the GPS coordinates associated with network logs, acquire fuel consumption rates and related opportunities. It will involve a literature survey of the existing algorithms to gain valuable insights. […]

Perform an exploratory research to investigate the potential to extract knowledge by aggregating historical data across the company's clients and applying machine learning techniques on them. The goal is to device prediction models that can forecast the condition of certain events(such as life of pipelines) using statistical analysis. Riva Modeling( partner organization) will benefit from […]

Through this research project the intern will investigate the potential of data visualization incorporating a social collaboration element tied to typical data types in asset management. The partner organization Riva Modeling Systems will benefit from the proposed research by providing its clients with an enhanced asset management tool that allows various groups or individuals within […]

Facing looming infrastructure crises, municipalities around the world are implementing asset management policies to maximize level of service to residents through optimized scheduling of maintenance, rehabilitation, and replacement of assets. Scheduling optimization problems have been studied extensively in computer science and it is believed that an exact solution to such a problem would take an […]