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
Growing up in Brazil, computer science student Enzo Porto always loved the ocean. After finishing classes or during stressful weeks, he would often retreat to the family’s beach house to unwind. Enzo’s love for the ocean deepened further when he moved to Peru at 11 years old. He fondly recalls how Peruvians would hit the beach to celebrate New Year’s.
University of Waterloo names N. Asokan a University Professor
N. Asokan has been named a University Professor.
Conferred by the University of Waterloo, this rare and prestigious honour recognizes exceptional scholarly achievement and international pre-eminence. Once appointed, a faculty member retains the designation until retirement.
Diagnosing cancer with a blood draw
What if doctors could more accurately diagnose and monitor blood cancer with a simple blood draw? This vision is becoming a reality thanks to research at Rapid Novor, a Waterloo-based company co-founded by Dr. Bin Ma, a computer science professor at the University of Waterloo.
Events
PhD Seminar • Artificial Intelligence | Machine Learning • Behaviorally Grounded User Profiles from the Wild for Personalized Alignment and Multi-Perspective Reasoning
Please note: This PhD seminar will take place in DC 1304 and online.
Yuxuan Li, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Victor Zhong
PhD Seminar • Software Engineering • FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing
Please note: This PhD seminar will take place in DC 2310.
Aniruddhan Murali, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Mei Nagappan
Master’s Thesis Presentation • Computer Graphics • A Biophysically-Based Framework for the Simulation and Visualization of Chlorophyll Fluorescence Under Different Illumination Conditions
Please note: This master’s thesis presentation will take place in DC 3317.
Frank Fan, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Gladimir Baranoski