Please note: This seminar will take place online.
Juan Zhai, Assistant Teaching Professor
Department of Computer Science, Rutgers University
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Noam Aigerman, Research Scientist
Adobe Research
Please note: This PhD seminar will take place online.
Yuan Chen, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Daniel Vogel, Géry Casiez, Sylvain Malacria
Please note: This PhD seminar will take place in DC 1304 and virtually over Zoom.
Yongqiang (Victor) Tian, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Chengnian Sun
Please note: This PhD seminar will take place in DC 2564.
Wenhan (Cosmos) Zhu, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Michael Godfrey
Please note: This PhD seminar will take place online.
Tim Dockhorn, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Yaoliang Yu
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Nicole Wein, Simons Postdoctoral Leader
DIMACS, Rutgers University
The size and complexity of today’s graphs present challenges that necessitate the discovery of new algorithms. One central area of research in this endeavor is computing and estimating distances in graphs. In this talk I will discuss two fundamental families of distance problems in the context of modern graphs: Diameter/Radius/Eccentricities and Hopsets/Shortcut Sets.
Please note: This PhD seminar will take place online.
Minghan Li, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Please note: This PhD seminar will take place in DC 2310 (not in DC 2584 as originally advertised) and virtually over Zoom.
Joshua Jung, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jesse Hoey
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Jingbo Wang, PhD candidate
Department of Computer Science, University of Southern California
Security, robustness, and fairness are all important non-functional properties of critical systems, such as software applications in autonomous driving, healthcare, and finance. Unlike functional correctness, which has been the subject of extensive research, techniques that can formally guarantee these non-functional properties are still severely lacking.
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Mariam Guizani, PhD candidate
Department of Electrical Engineering and Computer Science, Oregon State University
Diversity and Inclusion in Open-Source Software (OSS) has a significant impact on the OSS ecosystem and society. The low state of diversity and inclusion in OSS (e.g., women participation ranging from 1.5% to 11%) has unfortunate effects on OSS projects, individual contributors, and society.
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Victor Zhong, PhD candidate
Natural Language Processing Group, University of Washington
Traditional machine learning systems are trained on vast quantities of annotated data or experience. These systems often do not generalize to new, related problems that emerge after training, such as conversing about new topics or interacting with new environments.
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Barrett Ens
Data Visualisation and Immersive Analytics Research Group
Monash University
Please note: This PhD defence will take place online.
Khaled Ammar, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors M. Tamer Özsu, Semih Salihoglu
Please note: This PhD seminar will take place in DC 1304 and virtually over Zoom.
Damien Masson, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
Please note: This PhD seminar will take place in DC 1304 and virtually over Zoom.
Kaiyu (Kevin) Wu, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor J. Ian Munro
We present succinct distance oracles for (unweighted) interval graphs and related classes of graphs, using a novel succinct data structure for ordinal trees that supports the mapping between preorder (i.e., depth-first) ranks and level-order (breadth-first) ranks of nodes in constant time.
Please note: This PhD seminar will take place online.
Zhiying Jiang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Please note: This seminar will take place in DC 1302 and virtually over Zoom.
Justin Zobel, Redmond Barry Distinguished Professor
Pro Vice-Chancellor, Graduate & International Research
School of Computing and Information Systems, University of Melbourne
