Application of deep learning in perception and navigation of mobile robotics

Mobile robotics are playing an increasing important role in many areas such as delivery, house cleaning, homecare, etc. How to increase the capability of robotics in perception and navigation is an on-going problem for decades. Due to the dynamic and uncertain chrematistics of the environment, it is still challenging for real application. In recent years, […]

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Reducing birdstrike risks at airports by integrated pest management of insects

Problem: Airports are increasingly important, both economically and socially, for the movement of people and goods. A major risk faced by airports is the potential for collisions between aircraft and birds (bird strikes). Bird strikes are dangerous and expensive, with costs including the repair of damaged aircraft and of closed runways delaying flights and leaving […]

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Evaluation of Measures to Control and Prevent Clostridium difficile Infection

Clostridium difficile infection (CDI) has become the leading cause of hospital acquired nosocomial diarrhea worldwide. The prolonged hospital stays associated with CDI has enormous impact on the healthcare systems in terms of costs and patient outcomes. While treatment of CDI is an important area for ongoing research, prevention efforts will need to be enhanced to […]

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Understanding and Improving Knowledge Flow in Software Organizations

Software teams and organizations use various tools — either by design or appropriation — to manage and share knowledge. Software engineering practitioners recognize that good documentation and effective knowledge sharing are critical to the success of a project and also to developer productivity. Yet, writing and maintaining documentation is often an afterthought for software engineering […]

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Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI – Year two

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS) that utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of this project will be to incorporate […]

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Predicting noise impact on fish communities in the western Canadian Arctic using Passive Acoustic Monitoring – Year two

Several fish species produce species-specific sounds that can be identified in the wild using Passive Acoustic Monitoring (PAM) (i.e. dataloggers configured with underwater microphones). Our project will use existing and new PAM recordings to monitor the distribution of several fish species in the western Canadian Arctic, with particular focus on a keystone Arctic species, the […]

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Development of in operando characterization methods for lithium ion battery materials – Year two

The successful commercialization of new cathode materials for lithium ion batteries requires an improved and detailed understanding of the correlations between their structure, properties, and performance. Such a correlation will provide a foundation for better understanding the degradation mechanisms and optimized operating conditions for these cathode materials; pairing new battery materials with ideal applications and […]

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Exploring the Physical Education-Related Needs and Self-Efficacy of Elementary School Teachers

The objective of the proposed internship is to conduct a needs assessment to identify the challenges of teaching physical education in elementary school, and determine supports/resources to improve teachers? confidence to instruct physical education. As the GoodLife Kids Foundation supports national, provincial, and local programs that provide ongoing physical activity opportunities for kids, findings from […]

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