Machine learning methods to accelerate design and synthesis of clean energy materials

The aim of this project is to establish a long term collaboration between researchers at NRC/McMaster University and KIT, in order to develop machine learning (ML) methods to support and boost research on clean energy materials. Initial contact between Canadian and German researchers was established within the German Canadian Materials Acceleration Center (GC-MAC), which aims […]

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Capacity Management and Burnout Prevention Assessment

The primary objective of this project is to create an improved Capacity Management Assessment that will detect and prevent burnout for different industries and customer segments (i.e., Corporate, Entrepreneurs, Post-Secondary and Medical field) by September 2022. While current literature focuses on pinpointing sources of burnout, environments in which this occurs, and even assessment tools to […]

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Building an Evidence Base for an Innovative Harm Reduction Program

Grenfell Ministries is a peer-led, Unitarian Universalist faith-based non-for-profit that addresses the needs of people pushed to the margins of our society. A pioneering harm-reduction organization based in Hamilton, Ontario, Grenfell is built and led entirely by people who have experienced substance use disorder and associated struggles with poverty, homelessness, incarceration, and mental health challenges. […]

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Accelerating the Healthcare Leader’s Career Pathways: Determining pathways of leadership, and developing and testing a mobile app prototype

These are challenging times for healthcare leaders. Since the pandemic, it has become abundantly clear that healthcare is at a tipping point. With burnout, retirements, and resignations, healthcare leadership positions are now more available than ever. CHLNet and LEADs Change have studied leadership during COVID-19 and have highlighted the demands on leadership and the need […]

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Complex network based data analysis for shared mobility

This project aims to build a new analysis toolkit for shared bikes, escooters, and cars. The method is based on a mathematical theory called complex network. Like internet and human brains, transportation system possesses network structure. To study its topological properties, we can calculate some indices that encode the information of the network. There are […]

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Real-time endoscope tracking

Accurate, reproducible endoscopic reports that provide standardized data on the nature and location of GI tract lesions are critical to quality improvement in endoscopy, particularly with respect to colonoscopy performed for colorectal cancer screening and surveillance. In addition, accurate, verifiable performance-enhancing feedback is essential for training future endoscopists and for supporting continued skills enhancement for […]

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Geomorphic sensitivity of rivers along the Niagara Escarpment to land-use and climate change: Implications for erosion risk in Hamilton, Ontario

The Niagara Escarpment is a dominant natural feature in southern Ontario and provides the region with exceptional sites of natural beauty including numerous waterfalls and exposed rocky cliffs. There is little data on geomorphic characteristics of rivers along the escarpment and their sensitivity to erosion under future land development and climate change. The proposed project […]

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Community-based monitoring framework development for the Foxe Basin Kivalliq North Sapujiyiit/Guardians of the Sea Society

The proposed research project will be to provide an understanding and overview of Inuit women’s concerns, feelings, and thoughts regarding how their day to day lives are changing due to climate change and increased development in Nunavut. The partner organization (Sapujiyiit Society) will have the role of guiding the HQP through formulation of the research […]

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Efficient Adjoint Sensitivity Analysis of Emerging Nanophotonic Devices

The design optimization process of photonic and optoelectronic devices can be time consuming. The modeling of these electrically-long devices is time-intensive. Accurate time-domain and frequency-domain simulation tools such as the finite difference time domain (FDTD) method and the finite element method (FEM) are usually utilized to model these devices. These methods require fine meshing to […]

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Automatic alignment of subtitle and audio track for TV broadcasting

Subtitles are typically generated postproduction and might be mis-aligned with the audio track. Alignment of subtitles to audio is a task which aims to produce accurate timings of the words within a subtitle track given a corresponding audio track. The alignment task is of significant relevance to Bell media. Semi–automated solutions exist, and they involve […]

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Predicting Reactions with Controlled Errors

Given a group of molecules and a specification of reaction conditions, do chemical reactions occur? If so, what products are produced, and what is their relative abundance? This problem pervades chemistry, with applications in environmental science (e.g., the degradation of pollutants), molecular sensing (e.g., interpreting the results of tandem mass spectrometry), chemical synthesis (e.g., finding […]

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Chemical diversity in the gut microbiota of pregnant and lactating women from Antioquia-Colombia: Nutritional metabolomics for biomarker discovery

To date, gut microbiome populations have been associated only with not beneficial choline metabolism, like those related to trimethylamine N-oxide formation. But in this research, it is hypothesized that other mechanisms must be involved in the fates of free choline released from dietary sources. To explore these microbial communities associated to beneficial choline metabolism rendering […]

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