The proposed research project aims to improve the way data is transmitted between mobile devices and company servers. This will improve the speed and security of file transfers, data synchronization, application deployment, and distant management of mobile devices. The intern will collaborate with experts from the partner organization who will offer guidance and support in […]

The objective of this project is to develop a software solution that can analyze the accelerometer data on android devices and report certain metrics of a moving vehicle related to road safety and driving conditions. The reports can then be used for immediate call for action in case of detecting an emergency or collecting the […]

The proposed research project aims to analyze the causes and consequences of the Soviet Coup attempt, including the political and economic factors that led to the coup, the role of the Soviet military and the KGB, and the impact of the coup on the collapse of the Soviet Union. The expected outcomes of the research […]

The intern will investigate the 1991 Soviet coup attempt, a critical event in history when some powerful Soviet leaders tried to take control from then-President Mikhail Gorbachev. They will study why it happened, who was involved, and what the consequences were for the Soviet Union and the world. By analyzing historical documents, interviews, and other […]

This research project aims to address the growing interest in predicting clinical outcomes using machine learning (ML) approaches applied to Electronic Medical Record (EMR) data. The primary objective of this study is to develop representations of both EMR and text data found in medical notes using current state-of-the-art ML techniques. In particular, this research proposes […]

This research project aims to improve epilepsy treatment by developing a robotic-based method for testing wearable seizure detection devices. The project will create a robotic system that can simulate seizures, providing realistic data to help refine and test machine learning algorithms for detecting seizures more accurately. The goal is to address the limitations of current […]

Advanced persistent threat (APT) groups, as well as those sponsored by a nation-state, often aim to gain undetected access to a network and then remain silently persistent, establish a backdoor, and steal data, as opposed to causing damage. APT groups use different tactics, techniques, and procedures (TTPs) at various stages of cyberattacks. The continuous and […]

Central Banking Digital Currency (CBDC) is a digitalized version of cash. It seeks to preserve all the properties and characteristics of the monetary unit, the most famous of which are: a store of value, a medium of exchange, and a unit of account. Using machine learning techniques, the student will answer questions about how quickly […]

To conduct research and provide a feasible solution to create an AI-based script builder to automate the company’s pay-by-web transaction process. The pay-by-web transaction process includes many steps. These are steps such as extracting data from different sources and monitoring email inboxes as well as verifying payment information. The process also involves identifying the correct […]

This landmark project was built by Dr. Jessica Dolan with leadership at the Indigenous organization Plenty Canada, and the Conservation Through Reconciliation Partnership team at University of Guelph. Working closely in collaboration with Haudenosaunee and Anishinaabeg educators and culture-bearers, the team is combining plant biology surveys in the Greenbelt region of Southern Ontario, with historical […]

The research project aims to develop a portable, wireless interface for implantable medical devices that monitor brain activity in patients with conditions such as epilepsy and motor disorders. This new software will allow for continuous, unrestricted measurement of brain activity, enabling doctors to collect high-quality data in patients’ natural environments. The interface will wirelessly transmit […]

A key requirement for returning to societal and economic normality is the evaluation and surveillanceof SARS-CoV-2 infection and immunity. The proposed technologies described herein, enable a safe and effectivediagnostic test that can quickly provide an easily interpreted result for SARS-CoV-2 immunity, all without complicated equipment, expensive reagents, or high-level biosafety containment facilities. Such a system […]