Measuring Knowledge Translation in Academic / Industry Collaborations

As manufacturing and resource-based industries face growing challenges, Canada’s future increasingly depends on advances in and sustainability of knowledge organizations. Knowledge-based workers comprise a growing proportion of the workforce today. More often than not, they work in the context of large-scale expert networks, spanning across different disciplines and organizations. They rely on software technologies for their discipline-specific activities, the coordination of their activities, and their communication with each other.

Investigating the use of Virtual Reality and Augmented Reality for Digital Content Creation with freehand 3D Sketching

The project involves conducting a study to evaluate human performance in executing simple drawing tasks like drawing curves and lines from various directions. The study will help ascertain the accuracy and ergonomic aspects of 3D drawing. We will then use the results of the study to design a 3D sketching system combining augmented reality glasses with traditional drawing tablets. The tablet can provide a physical constraint to aid drawing tasks while also reducing the amount of fatigue the artist faces.

Using systems engineering as a framework to evaluate a Pre-residency program for international medical graduates

Evaluation is a key element to assure the high quality of programs. The Pre-Residency program is meant to prepare the international medical graduates to be at the same level as any locally trained Medical graduate in Canada for their specialty training rotations. In this project we are using an innovative engineering approach to conduct an evaluation of the Pre-Residency program. Our goal is to provide a more objective evaluation using engineering to help assure the high quality of the Pre-Residency training program offered by the Touchstone Institute.

Development of Li-Ion cells/batteries for low temperature applications

Increases in gasoline price and greenhouse gas emissions have spurred the growth of hybrid electric vehicles (HEV) and pure electric vehicles (EVs). Rechargeable Li-ion batteries are the leading candidate for powering these vehicles due to their high energy and power density properties relative to other batteries. However, their energy and power capabilities are substantially reduced at low temperatures, posing a technical barrier for market penetration of HEVs and EVs.

Measuring Canada’s Urban Forest Footprint

In recent years, with increased urbanization, the beneficial role of urban trees and forests has become critical for Canadian residents. Despite this recognition, there is little knowledge of the extent of urban forestry activities being performed across the country; one of the reasons for this is that urban foresry is happening under different labels. In addition, there is no federal or provincial support or records of work being done. Urban forestry is the responsibility of municipal governments.

Non-intrusive failure diagnosis for distributed systems

Software failures are catastrophic. For example, a software failure resulted in the 2003 northeast blackout which lasted 7 hours and took over 55 million people in Ontario and U.S. out of power. Unfortunately, it is dauntingly difficult to diagnose such failures because the underlying software systems are extremely complex. This research is the first to propose non-intrusive failure diagnosis that does not require any modifications to the software.

Real Time Inverse Scattering for Optical Coherence Tomography

A critical challenge today in neuro-surgery is the determination of tumor boundaries intraoperatively. There are means of doing this using high-resolution MRI machines, however, these can be prohibitively costly. Optical coherence tomography (OCT) offers a promising, cheaper, label-free alternative. However, the basic models used for clinical, real-time OCT limit its usefulness and depth of focus. This work will develop a type of image reconstruction that includes digital focusing and anisotropic properties.

Predicting Impact of Biological Research Manuscripts

Meta’s Bibliometric Intelligence is a service platform to provide automated and in-depth manuscript assessment to authors and publishers in biological science. This internship project is to develop a new version of Bibliometric Intelligence. The intern will apply state-of-art machine learning and natural language processing skills to improve its performance. Accurate assessment and profiling of manuscript by the new Bibliometric Intelligence will allow researchers and publishers to pre-rank manuscripts efficiently, and to reduce the unnecessary painful submission waiting time.

Data Driven CRM Optimization for eReading

During the duration of the proposed project, the intern will become a member of the partner organization’s “Big Data” team, participating in all team activities, and completing research-oriented work for the team. The intern will complete research that will explore and improve upon previous methods of intelligently communicating with customers through personalized emails. This may include notifying specific users of new product releases, or of an upcoming sale that may be of interest to them.

Privacy Enhanced Decentralized Identity System

The rise in adoption of online services for sensitive tasks such as banking and accessing public services, has led to increased security and data privacy requirements. Many institutions use third-party services for logging in and handling security. So you might enter a single username and password, connecting only once to access a number of different government services. This is convenient for a user, but there are some security risks in the way these third-party services are currently implemented.