Investment Readiness Program Evaluation, Mapping & Peer Learning

The Canadian Community Economic Development Network (CCEDNet) operates at the nexus of many social economy organizations in Canada and is leading the development of a platform for people to conduct social financing in Canada. Social finance involves investments which seek a measurable social or environmental impact in addition to generating a financial return for the […]

Read More
Optimization of Waste-to-Resource Plants with Machine Learning and Multi- Objective Reinforcement Learning

In waste-to-resource processes, variations in operating conditions are common, to accommodate varying process objectives and ambient disturbances. In these cases, well-tuned operating conditions are disrupted, and correlations among process and quality variables are broken, leading to unexpected outcomes. Due to large number of involved variables and their complex relations, it is challenging to re-tune system […]

Read More
Spectral Methods in Quantum Kernel Classifiers

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]

Read More
BSI – Fatima Yousafzai

This project aims to tackle the challenge of finding different ways Viva could optimize its existing work processes to generate maximum results, as well as innovating in the marketing domain. This requires the intern to observe technical insights such as user interaction and behaviour, as well as traffic across various virtual platforms. This understanding would […]

Read More
Durability of EV’s Battery Pack Joints

To address the global concerns regarding climate changes and increase of earth temperature, carbon dioxide emission has to be removed/reduced. A major source of Co2 emission is transportation vehicles, which account for close to 30% of Canada’s greenhouse gas emissions. An active method to reduce this significant contribution to global warming is electrification of transportation […]

Read More
Fabrication of a cost-effective microfluidic eye model for high throughput screening and testing of ophthalmic materials and drugs

Toxicity testing of ophthalmic products is an important step in developing new eye products. Microfluidic devices, such as lab-on-a-chip, are an effective way to evaluate the toxicity of new products prior to animal testing. However, the current methods to create these microfluidic chips are too time-consuming and expensive for high-throughput screening. The objective of this […]

Read More
MateMachine BSI

The intern will help guide technology start up MateMachine with regards to their content strategy. This strategy will focus on the benefits of MateMachine to marginalized folks including LGTBQ+ and disabled persons. This technology will provide new ways for individuals to connect and share their feelings with one another.

Read More
Vapor-phase processing of nickel for EV batteries and Metal Additive Manufacturing

The proposed research project aims at technology for environmentally benign recycling of nickel. The process entails conversion of nickel found in the “black mass” from recycled Ni-based batteries into nickel carbonyl, Ni(CO)4, by reaction with CO at modest temperatures around 50-120°C (pressuredependent). Only nickel carbonyl is volatile under these conditions and is easily separated from […]

Read More
Multi-Document & Topic-Specific Summarization

This project’s goal is to build an algorithm that is able to understand and summarize content and sentiment from multiple sources based on a given topic or opinion. This algorithm would then be adapted into TrafficSoda’s existing infrastructure allowing them to maintain and grow a competitive advantage in our marketplace. It would also save the […]

Read More
Infrasound Data Analysis for Wake Vortices and Maritime Vessel Detection

Infrasonic signatures are long wave acoustic signals in the under 20Hz range (below human hearing). The partner organization has been experimenting with infrasonic sensors to achieve 2 key outcomes: a) detection clear air turbulence to benefit commercial air travel and b) detection of ‘dark vessel’ marine traffic, i.e., illegal fishing. The ability to detect clear […]

Read More
Assessing the mental health impact of COVID-19 on Canadians: Phase 2

MHRC is conducting ongoing polling of Canadians to assess the effect of COVID-19 on mental health. We require additional support to expand our capacity to analyze the datasets we are creating. Our poll is extensive including a number of markers of mental health along with an array of demographic controls and is rolled out every […]

Read More