The proposed project, “Nature and Nurture: A Comparative Study of Environmental Education in China and Canada,” aims to explore how Environmental Education (EE) is implemented within educational systems in both countries. Through observing and analyzing various aspects—such as the curriculum, teacher engagement, and community involvement—the project will identify best practices and challenges in fostering environmental […]

The overview of the Globalink research project seeks to examine and discuss the use of creative pedagogy in Chinese and Canadian classrooms for grades 1-6 and 7-9, focusing on cross-curricular learning. One objective is to compare student engagement and behaviour. The Ontario curriculum offers many opportunities for the integration of subjects, and we aim to […]

This research project will explore how environmental education (EE) in kindergarten classrooms can build lifelong habits of environmental stewardship by comparing practices in Ontario, Canada, and China. Using the framework of the Reciprocal Learning Program, the study highlights how cultural exchange can improve teaching methods and outcomes in both regions. By examining daily routines and […]

This project aims to look at how Chinese teachers integrate environmental studies into their high school History classes. Throughout the course of this research, this project will also explore the strategies that Chinese teachers use to engage the students within their class. In a time of pressing environmental concerns, this project will provide greater insight […]

There are however, a range of GCMs, future climate scenarios and downscalingtechniques that can be used and each yields different results. Due to this uncertainty, itis regarded as best-practice to use a collection of individual projections to develop“ranges” that characterize future climate conditions. The aim of this internship is toconduct this analysis for the variables […]

This project is to focus on building an application that can be used to perform a audiology-grade calibration of consumer headphones (and microphones) on a mobile device (such as an iPhone or iPad). The intern will use mathematical techniques (such as spectral analysis) to help gather and analyze user information more efficiently in order to […]

examine the feasibility of an innovative solution that combines Federated Learning with Deep Reinforcement Learning (DRL) to optimize the selection of edge nodes for model aggregation. Through the proposed DRL-based client selection method, the system can actively select nodes that have shown superior performance based on their training quality, computational resources, and network conditions. This […]

As a cultural historian, my research examines the history of contemporary Chinese photography, photo theory, and the intellectual and cultural politics of contemporary China. Through a detailed examination of numerous art, photography, and academic journals, along with exhibition catalogues and archival material from artists, my research seeks to analyse the historical and intellectual roots of […]

This project’s overview for the 4-month period is to – • Improve the City’s processing of development applications efficiently and within required timelines while adhering to the Planning Act. • Develop Standard Operating Procedures (SOPs) for the review, processing, and management of all planning applications and processes, including but not limited to pre-consultation, zoning and […]

This project aims to develop advanced, self-managing networks that reduce the need for manual intervention by allowing network administrators to set high-level goals, called “intents,” rather than dealing with complex configurations. By automating network management tasks and ensuring that these intents are consistently met, the project will help the partner organization operate more efficiently, reduce […]

The proposed project fosters collaboration between Sabanci University and the University of Waterloo, offering significant benefits to both institutions. Sabanci University will gain access to advanced imaging and gas analysis techniques available at Waterloo, enabling precise characterization and optimization of the CO2 capture system. This enhances the quality and impact of ongoing research at Sabanci. […]

This research project focuses on improving how we detect fraudulent activities, such as suspicious transactions, in large financial transaction networks like Mastercard’s. Fraudulent transactions are rare and difficult to catch because they often look similar to regular transactions, and there are limited accurate data to rely on. To tackle this, we are using Graph Neural […]