Automated speech enabled human-computer interfaces have become essential for the competiveness of many Canadian industries. The demand for more natural, simplified, and low cost user interfaces has made voice enabling of telecommunications, automotive, and consumer electronics devices nearly ubiquitous. Commercially available automated intelligent assistants have been developed to guide customers through problem solving scenarios. The […]

A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these […]

The project covers the design and optimization of long-haul and ultra long-haul wavelength division multiplexing (WDM) networks. The objective is to develop routing and wavelength assignment (RWA) algorithms for next-generation terrestrial and undersea networks that are based on the use of high-speed dual-polarization coherent transponders. The goal is to improve the performance and accuracy of […]

Battery life is a key concern for smartphone makers, and the power consumed by smartphone applications is directly tied to battery life. In this project the intern will develop fast, early and accurate models of smartphone power consumption, before the hardware and the operating system are available. These models will be useful for early optimization […]

In Canada, research ethics boards vary widely in the way they interpret risk to patients when their personal information is being re-used for research purposes. However, many research ethics boards will permit information to be shared without consent when they believe there is a low risk of re-identification. PARAT is Privacy Analytics’ de-identification software tool. […]

The Centre is working with a health industry-funded global start-up company in the Health ICT (Information and Communications Technology) Sector to empirically examine innovationadoption during the implementation of the company's personal health record application into different health systems and practices within Canada. This comprehensive study will enable a detailed examination of the utility and impact […]

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ […]

A wireless sensor has been designed to monitor overhead line temperature. The economic importance of this issue is to maximize the power transfer capacity of the lines. The sensor has two main parts, a local interrogator and a passive battery-less sensor. The power to turn on sensor comes from interrogator. The sensor measures the temperature, […]

The first objective of this internship is testing and validation of recently customised RISKWISE software for subsea pipeline application using a case study. Second objective is to develop a user manual for the software for future reference. Testing and validation of the software would help provide reliability and confidence in the tool usage that will […]

When using geophysical methods to gain insight into the structure of the earth, large geophysical data sets are collected. Since the earth is a 3D structure, the data must be interpreted and processed in 3D to be of the most value in the exploration process. This research will develop the capability to invert large gravity, […]

With the development of imaging technology, camera trapping becomes one of the best ways to record the presence and activities of large mammals in a given area. The approach to monitoring the animals can assist people in the community with decision making about preserving biodiversity. In the past, experts analyzed such images manually, which required […]

This project’s goal is to build an algorithm that is able to understand and summarize content and sentiment from multiple sources based on a given topic or opinion. This algorithm would then be adapted into TrafficSoda’s existing infrastructure allowing them to maintain and grow a competitive advantage in our marketplace. It would also save the […]