Finliti is planning to use AI to improve their business operations. Some areas they are looking into involve using AI to sort clients into the most appropriate persona which will reflect their investing preferences, and assessing the future performance of a proposed portfolio while accounting for a client’s persona and financial goals. AI is intended […]

The intern will be participating in an interdisciplinary project to investigate how recent advances in machine learning, generative AI, and natural language processing (NLP) could be leveraged to improve education outcomes, both within the partner organization’s operations and in the broader Canadian education system. Through partnership with the partner organization (Cansbridge Fellowship) and the academic […]

Analog and digitally synthesized film grain is widely seen in pristine visual content as part of the creative intent of content producers. However, in streaming media applications such as online video-on-demand and live video broadcasting, grain demands excessive amounts of bandwidth to transmit the video streams from the server to the consumer devices while maintaining […]

The intern within this position will work with Indigenous Clean Energy (ICE) to help co-design resources for Indigenous governments, such as research protocols, that will identify Indigenous Nations strategies for offshore wind development approaches to Indigenous Energy Justice to benefit diverse Indigenous seascapes. Additionally, this position will be responsible for coordinating and executing meetings and […]

This research project is a collaborative effort between the University of Waterloo and Oceana Canada and is guided by several core objectives: 1) To define, compile, and assess best practices (BPs) that are commonly used for reducing plastic production in selected international jurisdictions; 2) Explore and examine the mechanisms, barriers, policies, policy instruments, etc. that […]

This research project aims to review the different epidemiological modelling approaches used to predict the spread of COVID-19. The project will conduct a comprehensive search of literature and relevant sources, evaluate the quality of the identified studies, extract relevant data, and synthesize the data to provide a narrative summary of the effectiveness of different modelling […]

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 […]

This research project aims to study how natural disasters, political events, and other factors can disrupt global trade and supply chains, and how this affects the economy. The study will focus on the impact of the war in Ukraine and natural disasters in Japan. By identifying the products and industries most affected, the intern hopes […]

The research project, guided by Professor Stephen Smith, focuses on addressing environmental challenges related to water pollution and debris detection in the water areas, with a specific emphasis on garbage and waste detection on the water surface. The project entails a systematic literature review and analysis of various computer vision models to detect and classify […]

The project aims to develop a state-of-the-art numerical simulator to compute transistor’s physical behaviors at deep cryogenic temperatures. First of its kind, the simulator will incorporate physical effects critical for transistor’s operations at cryogenic temperature such as inelastic scattering, while maintaining computational efficiency and robustness. The successful outcome will provide the research community a widely […]

PaceZero – Impact Due Diligence Framework Development. This project will further develop an Impact Due Diligence process map for Impact measurement analysis.

Cardiovascular disease kills 17.9 million people globally each year. 85% of these deaths were caused by either a myocardial infarction (heart attack) or stroke. Current tests for predicting heart attacks provide rapid results when presented with a blood sample, but these samples must be preprocessed using time-consuming methods. This project will develop a paper-based platform […]