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
Testing novel compounds to prevent peritoneal adhesions

Peritoneal adhesions are the leading cause of the postoperative bowel occlusions and are often associated with increased morbidity and mortality rates. There is no successful treatment developed yet and adhesion re- operations are only a temporary solution. Thus, there is a strong unmet clinical need to develop novel therapies to help patients. We developed a […]

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
Mathematical Models in Algorithmic Trading

On June 1, 2021, Futures First Canada and FinML began a pilot collaborative project involving three Canadian universities by-way-of a MITACS Accelerate internship (IT25712) to jumpstart an initiative to use cutting edge techniques in machine learning, financial mathematics and AI for making predictions in financial markets. This goal is integral to the business operations of […]

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
Hardware accelerated collision checking for robotics

The ability to quickly check if robot poses are not in collision with environment geometry is critical for robot applications that rely on forward kinematics, inverse kinematics, and path planning. It has been shown that during path planning 99% of the time is spent performing collision checks between the robot & its environment. Improving collision […]

Read More
Détection des engins perdus pour protéger les espèces aquatiques en péril dans le golfe du Saint-Laurent en utilisant l’intelligence artificielle

La perte d’engins de pêche en mer représente un danger pour la vie marine, en particulier pour les baleines noires qui risquent de s’emmêler dans les cordages. C’est pourquoi la détection des engins de pêche abandonnés est une préoccupation majeure pour les scientifiques et les autorités maritimes. Les avancées dans l’intelligence artificielle offrent une solution […]

Read More