The study of toxicity is to investigate the adverse effects of chemical and physical agents on living organisms and biological systems, and it is an important topic in the health and environmental sciences. In recent years, Alberta researchers has made great progress and contribution towards developing an innovative toxicity profiling program, and tremendous data sets […]

This internship project focuses on Variational Autoencoders (VAEs) for the precise identification of fraudulent activities within the banking sector, notably on check fraud detection. The literature shows that VAEs are very powerful in extracting principal features and components of a given dataset. This project meticulously outlines a comprehensive methodology where VAE is utilized for analyzing […]

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) which jumpstarted 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 […]

Ce projet a pour but d’établir un modèle considérant la dépendance dans l’espace et dans le temps, entre les tempêtes de grêle causant des dommages assurables. Nous utilisons un modèle hiérarchique Bayesien, où la fréquence des pertes assurables sera scindée en partie que nous définirons comme faisant partie du noyau et des extrêmes. Nous utilisons […]

Flocking behavior is the behavior exhibited when a group of birds, called a flock, are foraging or in flight. There are parallels with the shoaling behavior of fish, the swarming behavior of insects, and herd behavior of land animals. What we want to do is to build the mathematics models and use these models to […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Many real-world applications can be modeled as nonconvex optimization problems, such as the phase retrieval problem in medical imaging and matrix factorization problems in data analysis, just to name a few. Proximal-type algorithms serve as ideal candidates to resolve these nonconvex problems. Nevertheless, their convergence analysis remains challenging due to the lack of favorable properties […]

The development of autonomous vehicles and telematics is transforming the auto insurance sector. Reports highlight Tesla’s insurance ventures predicting a significant revenue share. This shift is underpinned by telematics, which offers detailed insights into driving behaviors and vehicle usage, essential for autonomous vehicle insurance risk assessments and pricing. The research in this domain, especially in […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

This project focuses on enhancing agricultural resilience to climate change by incorporating neural network-based optimization into weather index insurance designs. By utilizing advanced machine learning techniques, the initiative aims to improve the accuracy and appeal of insurance products for the agricultural sector, which is highly vulnerable to climate-induced weather unpredictability. The collaboration involves academia and […]

ICG has developed proprietary LiDAR based software to quantify carbon sequestration in every individual tree across large landscapes. This technology promises to bring unbiased and verifiable accounting to the rapidly evolving forest carbon offset sector. The Intern will work with ICG software developers to incorporate and optimize allometric equations for specific areas of interest. The […]

The PACMAN Study seeks to understand experiences and satisfaction with care and outcomes of children and youth who used mental health services as well as their parents and caregivers at the above-mentioned hospitals, including an economic evaluation conducted by the IHE on the impact of the intervention on healthcare resource use and costs in youth […]