Thursday, March 31, 2022 — 11:30 AM EDT

PLEASE NOTE: THIS SEMINAR HAS BEEN CANCELLED.

Ziwei Zhu, PhD candidate
Department of Computer Science and Engineering, Texas A&M University

Wednesday, March 30, 2022 — 10:00 AM EDT

Please note: This PhD seminar will be given online.

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

Supervisor: Professor Urs Hengartner

Tuesday, March 29, 2022 — 11:30 AM EDT

Please note: This seminar will be given online.

Stavros Sintos, Postdoctoral Scholar
Department of Computer Science, University of Chicago

Monday, March 28, 2022 — 11:30 AM EDT

Please note: This seminar will be given online.

Xiao Hu, Visiting Researcher
Discrete Algorithm Group, Google Research

Friday, March 25, 2022 — 10:30 AM EDT

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

Friday, March 25, 2022 — 9:00 AM EDT

Please note: This PhD seminar will be given online.

Zihao Wang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lila Kari

Thursday, March 24, 2022 — 11:30 AM EDT

Please note: This seminar will be given online.

Malavika Samak, Postdoctoral Associate
Computer Science and Artificial Intelligence Laboratory, MIT

Wednesday, March 23, 2022 — 1:00 PM EDT

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.

Tuesday, March 22, 2022 — 11:30 AM EDT

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.

Monday, March 21, 2022 — 11:30 AM EDT

Please note: This seminar will be given online.

Ruosong Wang
School of Computer Science, Carnegie Mellon University

Thursday, March 17, 2022 — 11:30 AM EDT

Please note: This seminar will be given online.

Sihang Liu
Department of Computer Science, University of Virginia

Wednesday, March 16, 2022 — 1:00 PM EDT

Please note: This PhD defence will be given online.

Sangho Suh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

Tuesday, March 15, 2022 — 11:30 AM EDT

Please note: This seminar will be given online.

Ningning Xie, Research Associate
Department of Computer Science and Technology
University of Cambridge

Monday, March 14, 2022 — 11:30 AM EDT

Please note: This seminar will be given online.

Amirali Aghazadeh, Postdoctoral researcher
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley

Friday, March 11, 2022 — 1:00 PM EST

Please note: This PhD seminar will be given online.

Sangho Suh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

Thursday, March 10, 2022 — 12:00 PM EST

Please note: This PhD seminar will be given online.

Daniel Gabric, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jeffrey Shallit

Thursday, March 10, 2022 — 11:30 AM EST

Please note: This seminar will be given online.

Hong Zhang, Postdoctoral Scholar
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley

Tuesday, March 8, 2022 — 11:30 AM EST

Please note: This seminar will be given online.

Eugene Ndiaye, Tennenbaum President’s Postdoctoral Fellow
H. Milton Stewart School of Industrial and Systems Engineering
Georgia Institute of Technology

Thursday, March 3, 2022 — 11:30 AM EST

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

Graeme Stroud, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Anna Lubiw

Thursday, March 3, 2022 — 11:30 AM EST

Please note: This seminar will be given online.

Octavian Ganea, Postdoctoral researcher
Computer Science & Artificial Intelligence Laboratory, MIT

Wednesday, March 2, 2022 — 12:00 PM EST

Please note: This PhD seminar will be given online.

Michael Abebe, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

Tuesday, March 1, 2022 — 11:30 AM EST

Please note: This seminar will be given online.

Xuehai Qian
Department of Electrical and Computer Engineering, University of Southern California

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