As much of the performing arts activity has moved to the virtual space over the past eighteen months, an effective online presence, as well as an efficient way to reach potential audiences has become essential for arts organizations everywhere. Information that can be machine processed effectively is key to a successful online presence. However, existing […]

There is an increasing demand for food production to meet the ever-growing world population. As such, effective management of farm resources is quite critical for the optimal operation of farm enterprises to meet the demand. This project intends to develop an automated approach to detect and analyze fruits using a camera system. One internship programmer […]

Recent years have seen a great amount of success in using deep learning in publicly available and standardized datasets such as ImageNet. However, deep learning methods fail to perform as well in a lot of real-world applications such as medical imaging datasets. One potential reason for this challenge is that deep learning models tend to […]

A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these […]

This research project will assess, and compare cybersecurity frameworks currently in place for critical infrastructure protection in Internet of things (IoT), Operational Technology (OT) and 5G to determine what the recommended policies are for critical infrastructure protection today for IoT, OT and 5G, and if there is already a currently used framework that supports all […]

People who experience mental wellness challenges or mental illness often struggle to obtain or maintain a position in the workplace. This is extremely relevant given the current COVID crisis, where personal distancing and isolation are required for the greater societal good. Organizations and communities are looking for practical tools to support mental health amidst this […]

Uncertainty at the upstream supply of agricultural products has been a challenge for growers. This uncertainty governs the market of non-strategic crops such as perishable field vegetables by affecting suppliers (or growers), distributors, and consumers. It causes too much or too little supply and consequently unexpected price variations. The supply chain of perishable food is […]

Sidewalks, pathways and bike lanes are a vital part of cities, they act as conduits for pedestrian movement and access, they enhance connectivity and encourage non-personal vehicle transportion. Having safe, accessible and proper sidewalk and bike lane maintenance is a fundamental necessity for cities to enhance their citizens public health, happiness and maximize their social […]

The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not […]

La transition vers l’industrie 4.0 a amené avec elle un ensemble de bouleversements non seulement au niveau de l’activité économique, mais aussi au sein de la société. Afin d’évoluer dans cette nouvelle réalité, les individus ont besoin de nouvelles compétences non techniques. Ainsi, des adaptations sont indispensables au niveau de l’éducation et la formation professionnelle, […]

Traditionally, drug discovery is a long and costly process, which consists of many stages and on average takes a total of more than 10 years, because it screens huge amount of drug candidates by conducting chemical and biological experiments which are expensive and time consuming. This project aims to apply graph representation learning technologies to […]

An existing Forex currency trading system has demonstrated a proof of concept on a static data set. The current project proposes to implement the trading system for real-time applications taking advantage of available geospatial information which can influence currency markets. The novel methodology will be based on building a high-dimensional weighted autocorrelation model between real-time […]