Many overnight workers rely on public transit for commuting to work at night and from work in the morning. However, it is challenging to understand overnight workers’ travel patterns between origins and destinations due to their reverse travel directions compared to traditional daytime workers. This research proposes a methodology to identify the overnight workers’ travel […]

Infrastructures including buildings and bridges show dynamic behaviors due to earthquakes, wind loads, and etc. The excessive dynamic response sometimes leads to structural failure. Therefore, accurate prediction method of the dynamic response for the structures is required to secure the safety the structures. A neural network augmented physics (NNAP) model which is based on deep […]

The main goal of this study is to develop a catalyst capable of producing hydrogen through urea oxidation. By synthesizing and modifying various metal nanoparticles, a layered double hydroxide structure will be synthesized, and electrochemical measurements will be made. Through this study, laboratories of both countries will find a new way to cooperate to produce […]

The objective of this project is to construct optimal data structures for the range closest pair (RCP) problem. The RCP problem aims to construct a data structure such that whenever a specific query range is given, the closest point-pair among those inside the given range can be reported efficiently. The RCP problem has been studied […]

Climate change is closely tied with human behaviors and health. With continuous industrialization and technological advances, modern people are living unimaginable prosperous lives. However, their increased greed leads to enormous environmental destruction, such as the indiscriminate consumption of air conditioners and disposable products, and short-distance driving. Air pollution has a bilateral relationship with climate change, […]

The proposed research will identify the dominant drivers of rising chloride concentrations in streams within the Toronto and Region Conservation Authority (TRCA) jurisdiction. The TRCA monitors stream water quality at 47 stations and data suggest that chloride concentrations are increasing. Previous research has identified urban growth and the subsequent application of road salt in wintertime […]

The Fundamental Review of the Trading Book (FRTB) is a set of regulations by the Basel committee, which is expected to be implemented by banks by 2022. The regulation targets market risk management in banking industry. According to FRTB, banks need to post extra capital against non-modellable risk factors, which could account for 30% of […]

This project involves the feasibility study of specific community microgrid technologies for the development of a Smart Community in London, Ontario by SE2 Technologies Inc. A first of its kind, such a community will represent a learning platform for universities and other cities in Canada. The smart community will consist of a minimum of 50 […]

The main objective of this project is to provide the growing elderly population with a means of transportation, which will allow them to get around the community to perform their daily activities. This project will focus on designing a personal transport vehicle that will be safe, easy to drive, and user friendly. This vehicle will […]

Nanoparticles made from hafnium dioxide (hafnia; HfO2) have emerged as a potential enhancer of cancer radiation therapy. Such nanoparticles allow for reduced doses of radiation to be used on tumors, sparing healthy tissue from side effects without reducing its anti-cancer effects. However, despite their potential, it is not yet known how different nanoparticle properties, such […]

In the proposed project, the GTAA will work with GBC faculty, students and graduates with the knowledge of the latest BIM technology tools and processes to help with the implementation of the innovative technological solutions in the Architectural and Engineering Data department. The interns will help the GTAA to create 3-dimensional Building Information Models (BIM) […]

The proposed project is to research and develop a user review analysis system for mobile games using machine learning and natural language processing techniques. Traditionally, user review analyses are done by humans, which is inefficient and relatively slow. The project will involve research in the specific areas of topic modeling, sentiment analysis and opinion spam […]