The Salvation Army currently works in 132 countries, promoting international development, disaster relief, health care, education, anti-trafficking/anti-slavery work, and women’s ministries throughout the world. How did a small British outreach develop into a world-wide humanitarian organization? My proposed research will examine The Salvation Army’s global expansion from 1880-1918 by studying the Booth family. Much research […]

Amplitude Ventures mission is centered around creating, growing and accelerating companies based on Canadian innovative research. Our goal with this project is to continue developing our company creation process. We will identify innovative scientific concepts that have the potential to evolve into IP and constitute a company in the future with the goal of designing […]

The project aims to facilitate the research and development of new drugs by employing machine learning methods to generate new molecules. This includes understanding various properties about known molecules by training deep learning models for the purpose of molecular generation. The gained understanding of molecules will be used to improve existing models and generate novel […]

Major sustainability challenges, such as climate change, are global; thus, addressing them requires active transnational and cross-sectoral approaches to knowledge sharing for collective action. However, the dominant practice of flying thousands of scientists and delegates to attend climate summits and international meetings is responsible for a significant share of carbon emissions. The question, then, is […]

Many species on earth are experiencing changes in their geographic distributions as climate change progresses. Ecologists don’t fully understand what limits or promotes a species ability to move in response to global change- factors such as temperature, interactions with other species, and population genetics can all play a role. I am interested in exploring how […]

The COVID-19 pandemic has highlighted the public need for molecular diagnostic tools to identify pathogen panels through nucleic acid amplification tests (NAAT). Many clinical labs worldwide have now established infrastructures for routine molecular assays using classic quantitative PCR (qPCR). In order to further advance this – now routine – tool for in vitro diagnostics (IVD), […]

The process of identifying the object in an image, and the object background is accomplished by the human brain instantly. We develop such skills with experience, and often take it for granted. In digital imaging and computer vision, the same operation called image segmentation is a bottleneck of quantitative analysis. In particular, automated image segmentation […]

The CAE flight training services and flight simulators provide the future pilots with digital immersion experience and operational support solutions. Currently, additive manufacturing is found to be a valid way to fabricate the cockpit interior components with lower lead time and accelerate the product development. In order to understand the fatigue behaviors of printed component […]

Taiwan has been undergoing an important religious revival in the past forty-years. However, while religiosity used to be mainly locally based, the progressive modernization of the island led to new forms of country-wide temple lineages and displaced forms of worship. The aim of this project is to look at how this shift in religious location […]

Whey and milk ultrafiltration (UF) permeate are usually considered as environmental pollutants due to their elevated organic load. Increase of whey production owing to high demand of milk-derived products creates a huge disposal problem for dairy industries. The conversion of lactose, which is main component of whey and milk UF permeate, to value-added ingredients is […]

Computer vision systems are a key component for autonomous vehicles and driver assistance. To be robust, such systems must be able to handle challenging conditions such as night driving and rain. Previously Algolux proposed multimodal sensor fusion using RGB, gated and lidar for robust object detection and dense depth estimation under low light and adverse […]

This project aims to explore ideas from a machine learning technique called Fibered AutoEncoders (FAE) for molecular representation learning. This technique will allow us to perceive the molecular space through a topological lens using the concept of fiber bundles, and it will give us a disentangled multi-level encoding of molecules. Since the molecular space is […]