Please note: This seminar will be given online.
Shahab Asoodeh, Assistant Professor
Department of Computing and Software, McMaster University
Please note: This master’s thesis presentation will be given online.
Chengcheng Hu, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Please note: This seminar will be given online.
Andrew Begel, Principal Researcher
Human-AI eXperiences Team, Microsoft Research
Assistive technologies help people with disabilities to adapt to a world that is not designed to accommodate them. My research aims to create the socio-technical infrastructure underpinning accessible technology and inclusive workplaces to provide opportunity, eliminate bias, and empower people with disabilities to fully engage and collaborate equitably with their non-disabled colleagues.
Come see six groups of fourth-year CS and SE students who took CS 497: Computing and Discrimination — a unique course offered for the first time this Winter by Computer Science Professors Dan Brown and Maura R. Grossman — as they showcase their final projects.
Learn more about this course from its instructors.
Please note: This seminar will be given online.
Hasti Seifi, Assistant Professor
Department of Computer Science, University of Copenhagen
Please note: This seminar will be given online.
Mohammadkazem (Kazem) Taram, PhD candidate
Department of Computer Science and Engineering, University of California, San Diego
The tension between security and performance has become more painful in recent years. In the context of processor architecture, we are observing a large influx of new attacks that appear regularly, each exploiting a crucial performance optimization, threatening to unwind decades of architectural gains.
Please note: This talk will be given online.
Smith Oduro-Marfo, University of Victoria
Please note: This PhD defence will be given online.
Fatema Tuz Zohora, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ming Li
Please note: This seminar will be given online.
Alane Suhr, PhD candidate
Department of Computer Science, Cornell University
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
Please note: This PhD seminar will be given in person.
Zhongwen (Rex) Zhang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Yuri Boykov
Please note: This seminar will be given online.
Sepehr Assadi, Assistant Professor
Department of Computer Science, Rutgers University
Please note: This seminar will be given online.
Qian Zhang, Postdoctoral Researcher
Computer Science Department, University of California, Los Angeles
Emerging hardware is shaping the future of heterogeneous computing; however, the use of such extraordinary computing power is restricted to a few software developers with hardware expertise. My research designs software developer tools to democratize heterogeneous computing.
PLEASE NOTE: THIS SEMINAR HAS BEEN CANCELLED.
Ziwei Zhu, PhD candidate
Department of Computer Science and Engineering, Texas A&M University
Please note: This PhD seminar will be given online.
Jiayi Chen, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Urs Hengartner
Please note: This seminar will be given online.
Stavros Sintos, Postdoctoral Scholar
Department of Computer Science, University of Chicago
Please note: This seminar will be given online.
Xiao Hu, Visiting Researcher
Discrete Algorithm Group, Google Research
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
Please note: This PhD seminar will be given online.
Zihao Wang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Lila Kari
Please note: This seminar will be given online.
Malavika Samak, Postdoctoral Associate
Computer Science and Artificial Intelligence Laboratory, MIT
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.
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.
Please note: This seminar will be given online.
Ruosong Wang
School of Computer Science, Carnegie Mellon University
Please note: This seminar will be given online.
Sihang Liu
Department of Computer Science, University of Virginia
Please note: This PhD defence will be given online.
Sangho Suh, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Edith Law