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Ever spent hours browsing through multiple websites because you can’t find the right source for your essay?

Fortunately, a Waterloo-led research team has created ScholarCopilot, an AI-powered software that can make writing papers faster, smoother, and less stressful.

Users can write or upload on ScholarCopilot’s interface. When they click on the “search citations” button, it will analyze their content and generate a list of academic sources. If the user chooses one of the recommendations, ScholarCopilot will automatically create in-text citations.

PhD student Yuzhe You has won the Michael A.J. Sweeney Award for Best Student Paper at Graphics Interface 2025. Held annually by the Canadian Human-Computer Communications Society, GI is the nation’s top conference on computer graphics and visualization, and human-computer interaction.

The award recognizes Yuzhe’s paper, Exploring Comparative Visual Approaches for Understanding Model Trade-offs in Adversarial Machine Learning, co-authored with Professor Jian Zhao, her supervisor.

Professor Jian Zhao has received an Ontario Early Researcher Award, which will provide $140,000 in funding to support his research on enhancing software development through visual interfaces and generative AI. 

The funding from the Ontario government is matched by an additional $50,000 from the University of Waterloo, bringing total funding to $190,000 over five years.

Professor Gautam Kamath has been awarded $140,000 from the Ontario Early Researcher Awards program to further his research on algorithms and machine learning techniques that preserve data privacy. 

The amount from the Ontario government is matched by $50,000 from the University of Waterloo, bringing total funding to $190,000.

Launched by the Computing Research Association in 2023, the UR2PhD program is designed to broaden access to undergraduate research experiences and inspire students to pursue graduate studies.

Among its institutional partners is the University of Waterloo, where Cheriton School of Computer Science Professor Edith Law coordinates the program locally.

Peptide identification is a core challenge in proteomics, the study of proteins, their structure and functions. Unlike genomics, which examines an organism’s genetic information, proteomics is far more complex. The proteome — the complete set of proteins produced or modified by a cell or system — varies not only across different cell types but also over time.

DeepSearch, a novel deep learning–based end-to-end database search method developed by PhD student Yonghan Yu and University Professor Ming Li brings new capabilities to protein identification.