Current students

Please note: This CrySP Speaker Series on Privacy talk will take place in DC 1302 and online.

Kevin Yeo
Research Engineering Manager, Google
PhD candidate, Columbia University

Private information retrieval (PIR) is a very promising cryptographic tool that enables privacy-preserving data querying that has endless implications to real-world applications. Unfortunately, PIR’s high cost remains a hindrance in widespread adoption.

Four Waterloo teams, each with a triad of exceptional algorithmic programmers, took the first, third, fourth and 20th place spots at the recent 2023 ICPC North America East Division Contest held at the University of Windsor.

Waterloo Black, consisting of Max Jiang (3A CS), Wen Yuen Pang (4A CS) and Kevin Wan (4A CS and C&O) finished first, solving 10 out of 12 problems

Please note: This PhD seminar will take place online.

Pablo Millán Arias, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lila Kari

Please note: This PhD seminar will take place online.

Ryan Hancock, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ali Mashtizadeh

Please note: This PhD seminar will take place in DC 2585 and online.

Ashish Gaurav, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart

Researchers at Waterloo’s Cybersecurity and Privacy Institute have received funding from the National Cybersecurity Consortium (NCC) under the Cyber Security Innovation Network program. This funding marks a significant milestone for CPI, Waterloo and the NCC, reinforcing a commitment to advance Canada’s cybersecurity ecosystem.

Twenty eligible projects were awarded a combined total of $11.2 million across three categories — commercialization, research and development, and training.

Cheriton School of Computer Science Professor Jo Atlee has been named one of Canada’s Most Powerful Women by the Women’s Executive Network, a recognition conferred for her foundational research in software engineering and her advocacy for women in computer science.

Monday, November 6, 2023 9:30 am - 5:00 pm EST (GMT -05:00)

Machine Learning Theory Workshop

Please note: This workshop will take place in DC 1302 and online.

You are invited to join the Machine Learning Theory Workshop on Monday, November 6, 2023 in DC 1302 and online. 

This workshop will bring together researchers with expertise in mathematical foundations of machine learning. The purpose of this event is to foster connections and build a research community among learning theorists from various institutions.

Please note: This half-hour seminar will take place in DC 1304.

Ahmed Alquraan, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany