Smart Over-the-Road Loading Matching Suggestions

Freight service is an integral part of any business that supplies or sells physical goods. Even though its importance is often hidden from consumers, the sight of trucks and cargo vans on city streets and highways can make one appreciate the extent to which freight service impacts our lives. In North America, many carriers (i.e. […]

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New designs for Bayesian adaptive cluster randomized trials for an individualized clinical support tool with capacity to support distance follow up and treatment of depression

Depression is a common and often devastating illness that contributes to suffering for patients and families and is also the number one cause of disability globally. Many patients do not respond to their first trial of treatment, and managing depression according to best practices can be difficult for clinicians. Using the power of machine learning, […]

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Deep Unsupervised Anomaly Detection in Options Markets

In the last few years, a high increase in the interest of traders and investors towards financial instruments directly lead to an important augmentation of the information received daily by exchanges. Exchanges regulators, who constantly monitor markets to unveil potential infractions, traditionally perform their investigation manually and the notable growth in market activity represents an […]

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Assessing and Identifying Indoor environmental Quality Gaps in Commercial Buildings using Wireless sensors and Big Data Analysis Tools

This project’s objective is to create a proprietary digital platform which will allow for a faster, more accurate diagnosis of a building’s indoor environmental quality (IEQ) – at a fraction of the cost of today’s industry testing rates. The project aims to ensure that data being collected can be properly categorized and analyzed, creating a […]

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Scalable Fraud Detection Methods for Micro-donation Processing Platforms

The goal of this project is to investigate fraud detection methods for micro-donation processing platforms. Fraud detection is a popular topic in both industry and academia, but usually in the context of payment processing. Through this research we aim to develop a practical, scalable and robust fraud detection system for the specific use-case of micro-donation […]

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A Study on Information Diffusion Systems

In this project, a model interpreted by a differential equation system is developed to study two-innovation diffusion. We will examine stability, developing tendency, distribution, bifurcation and other properties of the system depending on different model parameters. We will also investigate the corresponding discrete forms of the system and compare the obtained results. Both approaches of […]

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Multi-SNP prediction model for lung function decline

Chronic obstructive pulmonary disease (COPD) is a 3rd leading cause of death (1) which decreases lung function due to irreversible airway obstruction. The main indicator of the progression of COPD is a rate of the forced expiratory volume of 1 second (FEV1) decline. The intern will build the prediction model for the slope of FEV1 […]

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Bootstrapping Yield Curves

Financial market’s stability depends on the accurate pricing of financial products traded in the market. This makes accurate pricing of products a top priority for the banks and financial instruments. Inaccurate prices can lead to instability in the market and formation of bubbles. This leads into market crashes such as the 2008 crash where the […]

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