David R. Cheriton School of Computer Science
The Cheriton School of Computer Science is named for David R. Cheriton, who earned his PhD in Computer Science at the University of Waterloo in 1978. In 2005, Professor Cheriton made a transformational gift to the school that supports named chairs, faculty fellowships, and graduate scholarships.
News
You’re better at spotting malware than you think
When it comes to cybersecurity, humans are often seen as the weakest link, but new research suggests that with a little help, people can do a surprisingly effective job at identifying malware.
In a first-of-its-kind study, researchers from the Cheriton School of Computer Science teamed up with University of Guelph cybersecurity experts to test how users, ranging from tech novices to experts, can respond to real-time legitimate and malicious software download requests in a simulated office setting.
Professor Jimmy Lin, AI researcher and Yupp chief scientist, on the vital importance of academic entrepreneurship
Is it possible for Waterloo professor to successfully bridge academic research and industry innovation, especially in the rapidly evolving world of artificial intelligence?
The answer, it turns out, is Yupp.
Jimmy Lin is a professor of computer science and Cheriton Chair in Software Systems, as well as co-director of the Waterloo Data & Artificial Intelligence Institute. He is also the chief scientist at Yupp, an AI startup that launched last month with more than $33 million in seed funding.
Diogo Barradas wins FOCI Rising Star Award for advances in censorship-resistant communications
Professor Diogo Barradas has received the 2025 FOCI Rising Star Award for his significant contributions to censorship-resistant communications.
Presented at the Free and Open Communications on the Internet conference, the FOCI Rising Star Award honours early-career researchers whose work advances Internet freedom.
Events
Master’s Thesis Presentation • Machine Learning • Predicting Cardiovascular Events or Death in People with Dysglycemia Using Machine Learning Methods
Please note: This master’s thesis presentation will take place online.
Yuanhong Zhang, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Anita Layton
Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Anonymous Communication within Highly Repressive Regions
Please note: This master’s thesis presentation will take place in DC 2314 and online.
Sina Kamali, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Diogo Barradas
Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Bridging Early and Modern Lattice Cryptosystems: A Theoretical Journey through SVP, LWE and Kyber
Please note: This master’s thesis presentation will take place in DC 2310.
Daniel Santana, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Rafael Oliveira, Mohammad Hajiabadi