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
Turning physiotherapy into child’s play
What if your gym routine consisted of gliding across a forest, skewing fruits like a ninja, or racing on a Formula 1 track?
That’s the vision behind Hiro, a Waterloo-based startup that is gamifying physiotherapy exercises for children with disabilities — by including people with disabilities at the research’s core.
Chaos, code, and community
A quiet lab from the outside, pure chaos from within — the trains lab, where trains whir across miniature tracks, and students spend countless hours working away.
CS452: Real-Time Programming is a renowned CS course, notorious for its difficulty but fondly remembered for the deep sense of community it fosters among those who take it.
Chengnian Sun and colleagues receive OOPSLA 2025 Most Influential Paper Award for research on automated compiler testing
Professor Chengnian Sun and his collaborators Vu Le and Zhendong Su have received the Most Influential Paper Award at OOPSLA 2025, part of the ACM SIGPLAN SPLASH conference.
Their paper, Finding Deep Compiler Bugs via Guided Stochastic Program Mutation, presented originally at OOPSLA 2015, was recognized for introducing a novel Equivalence Modulo Inputs mutation strategy that exposed previously undetected bugs in production compilers.
Events
ML Theory Workshop (SOLT 2025)
You are invited to attend the third Southern Ontario Learning Theory Workshop, held at the University of Waterloo on Monday, November 10, 2025.
This one-day event brings together researchers specializing in the mathematical foundations of machine learning, fostering collaboration and community among learning theorists from various institutions.
Master’s Thesis Presentation • Artificial Intelligence • Automated Segmentation of Head and Neck Cancer on Computed Tomography Imaging
Please note: This master’s thesis presentation will take place in DC 2314 and online.
Hussam Kaka, Master's candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Olga Veksler
DLS: Erol Gelenbe — The Random Neural Network and its Applications to Image Processing, Network Routing, and Cyberattack Detection
Please note: This distinguished lecture will take place in DC 1302 and online.
Erol Gelenbe, Professor
Institute of Theoretical and Applied Informatics
Polish Academy of Sciences