North Coast Innovation Lab

The North Coast Innovation Lab (NCIL) is a place-based initiative for people who are invested in the future of Prince Rupert to work together on tangible projects and initiatives that build a resilient economy as a tool for community well-being. Forthcoming student Project Coordinators provide capacity to the efforts of the NCIL through action-research, project prototyping/piloting, social innovation methodology application & understanding, and community learning activities and presentations reflecting the efforts and outcomes of the NCIL.

Unmanned Surface Vessel (USV) Magnetometry for Geophysical Exploration of Canadian Lakes

This project aims to develop a prototype and workflow for the efficient and effective use of an unmanned surface vessel (USV) for magnetic data acquisition in Canadian lakes (9% of Canadian territory). Specifically, the USV will be used to tow either a floating or submerged sensor system consisting of multiple magnetometers in a gradiometer configuration. The main goal is to enable magnetic mapping of lakes at unprecedented spatial resolution with applications ranging from infrastructure localization, archaeological prospection, unexploded ordnances detection to mineral exploration.

Customer Lifetime Value Prediction Engine: Retail Lending Products

Canada’s financial services industry faces significant challenges to remain internationally competitive in the rapidly evolving web and big data environments. Scotiabank and its global competitors have as a key priority effective use of a large and growing amount of data to optimize the design and pricing of product offerings, to communicate effectively with clients, and to mitigate risk.

The development of CO2-switchable polymers as draw solutes for forward osmosis

Current methods for concentrating (removing water from) food and drinks for their transportation and/or storage rely on thermal or ultraviolet processing that is ultimately detrimental to the food product. This research proposes a novel method to remove the water that is based on forward osmosis, which solely depends on the ability of the draw solution to “draw” the water from the food across a membrane without the need to use pressure or heat.

Rehabilitation Approaches for Steel Structural Plate Bridges

Structural steel plate products such as buried bridges, culverts, and pipes, are entering states of distress. Present day, little is known about the severity of the different deterioration mechanisms occurring in these structures and even less is known on how rehabilitate them accordingly. The following proposed research project will investigate the deterioration and rehabilitation of these structures.

Economic Impact of Tourism in Kingston

At this juncture, much data on tourism in Kingston has been collected. However, no appropriate statistical method and analysis has been implemented yet to understand these data. The current project thus aims to create a benchmark for tourism data for Kingston by adopting various modelling techniques (e.g., Hierarchical Linear Modelling (Gelman, 2007), Multilevel Modeling (Green and Salkind, 2003), Regression, and Correlational analysis) to better understand and interpret these data.

Safe Harbour for Military, Veteran and Family Health Research Data

The Canadian Institute for Military and Veteran Health Research (CIMVHR), affiliated research partners at universities across Canada, and IBM Canada Ltd. have identified a significant and universal issue facing health researchers that applies to Canadian military, Veteran and family health (MVFH) research and health research for the Canadian population at large.

Predicting recovery from concussion during military cadet training using multimodal MRI data and machine learning

In the military, concussions are common and many occur while non-deployed, including during cadet training exercises. For the majority of those with concussions, symptoms resolve on their own but for a “miserable minority” symptoms persist beyond the typical 3-month recovery period, impacting quality of life. Most concussion research produces group level inferences which cannot be used to make individual predictions. We propose a supervised machine learning approach to build a model to predict symptom recovery from multiple MRI brain measures.

Investigation into the Radiation Damage Effect on Failure Mechanism of CANDU Spacer Material X-750 Ni-based Su

This study focus on the understanding of radiation-induced embrittlement in CANDU reactor spacer material, Inconel X-750. The helium pre-implantation following by proton irradiation will be employed as a surrogate for neutron irradiation to simulate the radiation damage on the microstructure of Inconel X-750. Micro-tensile test on irradiation X-750 material will be carried out to evaluate the mechanical properties and furthermore explore the failure or fracture mechanism.

Customer Lifetime Value Prediction Engine: Neighborhood Link Inference and Conversion Prediction

Canada’s financial services industry faces significant challenges to remain internationally competitive in the rapidly evolving web and big data environments. Scotiabank and its global competitors have as a key priority effective use of a large and growing amount of data to optimize the design and pricing of product offerings, to communicate effectively with clients, and to mitigate risk.

Pages