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March 2022

Seminar • Systems and Networking • Bridging the Gap between Algorithm and System Architecture

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

PhD Seminar • Data Systems • Proteus: Autonomous Adaptive Storage for Mixed Database Workloads

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

Master’s Thesis Presentation • Algorithms and Complexity • Computing Realistic Terrains from Imprecise Elevations

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

Seminar • Bioinformatics • Euclidean Deep Learning Models for 3D Structures and Interactions of Molecules

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

Seminar • Artificial Intelligence • Efficient Computation of Distribution-free Prediction Sets

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

Seminar • Systems and Networking • Towards Application-oriented Big Data and ML Systems

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

PhD Seminar • Algorithms and Complexity • Words that Almost Commute and Anti-Commute

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

PhD Seminar • Human-Computer Interaction • PrivacyToon: The Design and Evaluation of a Comic-Based Authoring Tool with Creativity Support for Privacy Concepts

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

Seminar • Bioinformatics • Trusted AI for Molecular Inference: The Role of Sparsity

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

Seminar • Programming Languages • Language Theory into Practice, a Play in Three Acts

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

PhD Defence • Human-Computer Interaction • Coding Strip: A Tool for Supporting Interplay within Abstraction Ladder for Computational Thinking

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

Seminar • Systems and Networking • A Holistic System Support for Persistent Memory

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

Seminar • Artificial Intelligence • Towards a Foundation for Reinforcement Learning

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

Seminar • Artificial Intelligence • Toward Reliable Machine Learning with Instruments

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.

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

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.