Shirley Zhong – Revolutionizing Sustainable Manufacturing in Canada: Market Insights, Tools, and Outreach for a Greener Industry

This project, in collaboration with the Cansbridge Fellowship, a non-profit with a strong history in fostering international trade, innovation, and investment in Canada, aims to promote sustainable manufacturing. By conducting research, identifying inefficiencies, and developing AI-driven tools to measure sustainability, the project will help businesses adopt greener approaches to fashion production. In addition to benefiting […]

Read More
Applications of Picard-Lefschetz theory to Cosmology

Picard-Lefchetz theory is a powerful tool for evaluating highly oscillatory integrals that are difficult or impossible to solve using other integration methods. This theory has numerous applications to lensing, quantum mechanics, and high energy physics. In this project, I will investigate using Picad-Lefchetz theory to solve simple lensing problems with the goal of applying these […]

Read More
Evaluation of anticancer activity of Shogun black maitake mushroom extract and it’s interaction with chemotherapeutic drugs in in vitro and in vivo models of human cancers.

Natural extracts have potential as anti-cancer therapeutics. Black Maitake mushroom extract (BME) is well tolerated, safe to be given as supplements over long period of time and has been approved from Health Canada for human consumption with NPN number. BME treatment has beneficial effect in patients as immunomodulator. We aim to provide scientific and preclinical […]

Read More
High-throughput value added product screening from environmental algal strains

Micro-algae (prokaryotic and eukaryotic) are increasingly used in food production, biotechnology and water treatment. By developing a high throughput screening system for naturally occurring micro-algae strains, we aim to expand the pool of strains available for biotechnology and other applications. We are implementing genomics and analytical tools in our pipeline to obtain detailed information about […]

Read More
Optimizing Cybersecurity Data Platform Operational Cost

We focus on building the systems that allow for the storage and analysis of big data for preventing cybersecurity attacks. This telemetry data is collected from customers by leveraging endpoint, network, and cloud data sources both inside and outside our customers’ networks. Our team then builds products that allows our customers as well as our […]

Read More
Experimental Characterization of Thin-Film Piezoelectric Layered Polymers under Mechanical Deformation

Thin-film polymer substrate that have piezoelectric layers are promising for a variety of applications, including micro-electro-mechanical systems, mechanical energy harvesting, and flexible electronics with security features. This study proposes a detailed approach for understanding how these flexible structures behave under different mechanical loads, using a comprehensive experimentation. This research mainly focuses on characterizing the electromechanical […]

Read More
Techno-economic Viability of Wooden Racking for Standard Solar Photovoltaic Modules

The project aims to develop a low-cost solution for sustainable wood-based racking system for standard solar PV panels. The design will used local lumber and other structural components to develop a racking design focusing on self-assembly, convenience, sustainability, and economics. A techno-commercial viability analysis of the project will also be performed for Okanagan, BC. Kruger […]

Read More
Improve the reliability and performance of Vision based Machine Learning models to provide more valuable insights to researchers.

Biomedical research, particularly preclinical research, is a complex and challenging field with a high failure rate of 98% in pharmaceutical research investment. Extracting relevant information from preclinical research papers involves synthesizing information from various sources, which is a demanding task that requires domain-specific knowledge. Natural language processing, specifically Large Language Models (LLMs), has demonstrated tremendous […]

Read More
Optimizing the delivery of ministring DNA (msDNA) to the central nervous system for use in gene therapy applications

Gene therapy has risen as one of the more promising treatment options for neurological disorders. Using modified viruses to deliver genetic material has shown success however has several disadvantages including increased safety risks. Using a non-viral vector system has the potential to overcome many of the challenges that arise with using viral vectors. Mediphage Bioceuticals […]

Read More
Design and validation of pathology-specific heart valve models

Heart valve disease affects a large number of Canadians, especially the elderly. Surgery for repairing heart valves is quite complex, and requires a great deal of expertise. This project will focus on creating a library of silicone valve models representing different heart valve diseases. With these silicone models, new cardiac surgeons will be able to […]

Read More