Adaptive User Interfaces for Product Recommender Systems

We are in the process of creating and growing a team of researchers, expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of […]

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Enteroids and enteroid derived monolayer cultures: Using primary intestinal epithelial cell cultures to define the mechanisms underlying epithelial intrinsic innate defenses

Using growth media available from Stemcell technologies, along with our own tools and techniques, we can isolate and grow intestinal stem cells from mice or human patient donors into enteroid cultures. Enteroids are 3D cell cultures that replicate many of the structures and types of cells found in the intestinal lining. We propose to work […]

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Development and application of a pollution biomonitoring tool for coastal British Columbia: A caged mussel health index

Healthy and productive coastal regions are highly important to Canada, both socio-economically and for the ecosystem services they provide. In 2015, the Vancouver Aquarium launched a new coast-wide initiative in British Columbia (PollutionTracker) to assess coastal health by generating high quality contaminant data for mussels and nearshore sediments. In the proposed study, Dr. Gabriela Aguirre-Martinez […]

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Fisheries stock assessment and management models for British Columbia’s multispecies integrated groundfish fishery

Large-scale commercial fisheries are an important part of Canada’s resource economy; however, resource managers are increasingly challenged to improve conservation and biodiversity outcomes by eliminating over-fishing, reducing bycatch and wastage, and protecting sensitive habitats from the impacts of fishing gear. Integrated management of multispecies fisheries attempts to improve on these outcomes by mandating and enforcing […]

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Kinetics of dispersion of fine phosphate particles associated with organic matter

This research project seeks to improve the process which is used to recover fine phosphorous particles from mine tailings. Phosphorus based fertilizers are important for plant growth and essential to large-scale, high-efficiency farming methods. However, the processing method used to obtain phosphate from phosphate-bearing ore is not very efficient. Upward of 13 % of the […]

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Computer Vision and Deep Learning for Moderating Visual Content

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since visual content (e.g. images, videos) is one of the most important types of data shared by social networking apps, an important problem for the company is to identify images/videos that are offensive or inappropriate. For example, certain images/videos […]

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Optimization of algorithms for real-time digital slide viewing

Panoptiq, is ViewsIQ’s flagship product for slide scanning and navigation in the microscopy and pathology market. This product would significantly benefit from enhanced resolution and accuracy of the images produced and improved system response time. The goal of the project is to (1) explore appropriate image processing algorithms and design new ones for Panoptiq and […]

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An initial evaluation of the working memory impacts of a cognitive training program for children with learning disabilities

Learning disabilities (LD) are a significant area of identified disability for children in North America and worldwide. We currently understand cognitive processing weaknesses to contribute to the developmental difficulties that children with LD face in learning and beyond. One of these areas of cognitive weakness, working memory, is an important target for intervention because it […]

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