It’s alive! Improved methods for growing human cells can lead to new cures

That’s why Mitacs Globalink students Friederike Floegel from Germany and Mireya Cervantes González from Mexico joined Professor Frampton’s lab at Dalhousie University in Halifax this summer. They had the opportunity to advance two new approaches for culturing cells that better replicate human tissue.

Friederike created temperature-responsive coatings to produce cells that can be detached to study the specific behaviour of cancer cells; and the coating will also make them easier to reproduce.

Dam good research: New 3D-printed dam models enable better prediction and reduce costs

Under a multi-phase project supported by commercial and educational entities, Austin Engineering creates digitally fabricated dam models for hydraulic and seismic testing at both their own hydraulics lab and at the University of British Columbia’s Applied Laboratory for Advanced Materials and Structures (ALAMS) in Kelowna, BC. Their most recent phase of research was followed by a prestigious international presentation.

Model development for membership analytics

This project will lay a foundation for Interior Savings Credit Union to better serve their membership by providing them with the means to discover significant membership groups within their large and complex database. This will be done through a combination of developing novel statistical techniques to discover the groups and writing the computer code needed to enact those techniques. We expect the project to benefit Interior Savings and its members by enhancing the credit union’s ability to target growth opportunities.

Using the cannabis microbiome for sustainable production

Microbes in horticulture are typically something to avoid or eliminate, as pathogens are a significant problem in yield a crop quality.

Wearable tech takes the heat off wildfire-fighting pilots

Now, a team of Mitacs researchers is working to understand the risks involved with aerial firefighting and is developing customized wearable and in-flight technologies that could improve pilot safety during wildfire seasons. Their goal: develop a system to monitor a pilot’s physical and cognitive conditions using the latest in wearable technologies to empower the pilot and flight operations to only deploy when it’s safe to fly.

Machine Learning for Improved Automated Valuation Model (II)

To estimate the market value of a real estate, a computer software program can produce the result by analyzing the location, market conditions, and other characteristics relevant to it. This is known as the 'automated valuation model (AVM)'. The previous Mitacs Accelerate project with 'Data Nerds' has conducted a series of experiments with the attributes of real estates and geographic dependencies. This project is to further develop the AVM by incorporating temporal factors. The deep learning based approaches will be employed in this project.

HAT TRICK: An innovative health promotion program for men

Despite the benefits associated with staying physically active and eating a healthy diet, men are less likely than women to engage in these behaviours. Healthy lifestyle programs that are offered in collaboration with professional sport teams have been found to engage men in being more active and eating healthier. HAT TRICK was designed to specifically target men and is being offered with major junior ice hockey teams in the Canadian Hockey League (CHL).

Intelligent Residential Energy Management Utility Controller

To research, design, and develop a network communication and control modules that integrate any residential HAVC control system with a utility energy management user interface. Developed signal modulation scheme will be implemented on development testing board. Device will network with all utilities for gas, water, and electricity.

Segment-based Fleet Management System for Semi Real-Time Analysis

Traditional fleet management systems suffer from zone-based aggregation. i.e. they use aggregate zone-level road and terrain characteristics to estimate trip performance indicators. In addition, most of these systems require intermediate ad-hoc staging tables to generate trip performance reports. To address these limitations, this research aims at developing a segment-based fleet management system for near real-time analysis. The proposed approach uses static segmentation to associate road and terrain characteristics with each segment of the road network.

Development a Stabilized Computer Vision System for Infrared Aerial Fire Monitoring

Hummingbird Drones provides aerial fire monitoring services to the BC Wildfire Service through the use of Unmanned Aerial Vehicles (UAVs). They conduct night-time flights over wildfire zones to locate and map hotspots for ground crews. Their current operations suffer from two bottlenecks: a heavy camera stabilizer which decreases flight time, and long post-processing time after landing required to analyze captured thermal images.