Seminar

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 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 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

Please note: This PhD seminar will take place in DC 1304 and virtually over Zoom.

Yen-Ting (Allen) Yeh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Daniel Vogel

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Jennifer Sun, PhD candidate
Computing and Mathematical Sciences, California Institute of Technology

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Daniela Opocenska, Exchange Graduate Student

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Yuntian Deng, PhD candidate
Harvard John A. Paulson School of Engineering and Applied Sciences

Please note: You must register to attend this online seminar.

Yang Cao, Associate Professor
Graduate School of Information Science and Technology, Hokkaido University

Please note: This PhD seminar will take place online.

Anurag Murty Naredla, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Anna Lubiw

Please note: This seminar will take place in DC 1304 and online.

Jörg Liebeherr, Professor
Department of Electrical and Computer Engineering, University of Toronto

By enabling large-scale in-situ environmental monitoring of remote areas, the Internet-of-Things (IoT) can play a crucial role in quantifying and responding to climate change. Sensing of uninhabited and many rural regions creates a need for inexpensive battery-powered IoT systems that can be deployed across large areas. Today, such systems are woefully unavailable.