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Wednesday, March 30, 2022 10:00 am - 10:00 am EDT (GMT -04:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) • Adapting Authentication Systems to Shared Mobile Devices

Please note: This PhD seminar will be given online.

Jiayi Chen, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Urs Hengartner

Wednesday, March 23, 2022 1:00 pm - 1:00 pm EDT (GMT -04:00)

Seminar • Algorithms and Complexity • Almost Linear Time Algorithms for Max-flow and More

Please note: This seminar will be given online.

Sushant Sachdeva, Assistant Professor
Department of Computer Science, University of Toronto

We give the first almost-linear time algorithm for computing exact maximum flows and minimum-cost flows on directed graphs. By well known reductions, this implies almost-linear time algorithms for several problems including bipartite matching, optimal transport, and undirected vertex connectivity.

photo of the interior of the Davis Centre
Wednesday, March 16, 2022

Cheriton School of Computer Science researchers, student featured in Waterloo’s 2022 Global Impact Report

The University of Waterloo’s 2022 Global Impact Report has just been released and it features several researchers from the Cheriton School of Computer Science.

Published annually, the Global Impact Report demonstrates how our exceptional students and faculty are connecting across disciplines and finding solutions to create a prosperous and equitable future.

Friday, March 25, 2022 10:30 am - 10:30 am EDT (GMT -04:00)

PhD Seminar • Human-Computer Interaction • Implementation Study of “Scrappy”: Using Computer Graphics to Assist Fabrication

Please note: This PhD seminar will be given online.

Ludwig Wilhelm Wall, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Daniel Vogel, Oliver Schneider

Tuesday, March 22, 2022 11:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Artificial Intelligence • Toward Reliable Machine Learning with Instruments

Please note: This seminar will be given online.

Krikamol Muandet
Research Group Leader, Empirical Inference Department
Max Planck Institute for Intelligent Systems

Society is made up of a set of diverse individuals, demographic groups, and institutions. Learning and deploying algorithmic models across these heterogeneous environments face a set of various trade-offs. In order to develop reliable machine learning algorithms that can interact successfully with the real world, it is necessary to deal with such heterogeneity.

Wednesday, April 6, 2022 3:00 pm - 3:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Natural Phenomena Simulation • A Framework for the Generation of Textures Representing Time-Dependent Changes in the Appearance of Dust Layers

Please note: This master’s thesis presentation will be given online.

Rebecca Santos, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Gladimir Baranoski

Professor Jo Atlee in the Davis Centre
Monday, March 7, 2022

Jo Atlee receives 2022 ACM SIGSOFT Distinguished Service Award

Professor Jo Atlee, Director of Women in Computer Science, has received the 2022 ACM SIGSOFT Distinguished Service Award, an honour bestowed for her sustained and outstanding service to the software engineering community and for enabling an equitable, diverse and inclusive research environment in software engineering worldwide.