Current students

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

Tianzheng Wang, Assistant Professor
School of Computing Science, Simon Fraser University

Please note: This colloquium will take place in MC 5501.

Wen-Ching Winnie Li, Distinguished Professor of Mathematics
Penn State University

Please note: This seminar will take place in DC 2306 and online.

Robert Andrews, Postdoctoral Researcher
School of Mathematics, Institute for Advanced Study, Princeton

Please note: This master’s thesis presentation will take place online.

Manoj Adhikari, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Tim Brecht

Please note: This master’s thesis presentation will take place in DC 2310

Rizwan Shahid, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Bernard Wong, Samer Al-Kiswany

Public blockchain systems like Ethereum and Bitcoin suffer from poor transaction through-put, leading to delayed transaction execution and high transaction fees. They execute transactions one by one failing to extract inherent parallelism possible in executing the workload.

Please note: This PhD seminar will take place in DC 2306 and online.

Renato Ferreira Pinto Jr, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Eric Blais

Please note: This master’s thesis presentation will take place in DC 2310.

Hen-Chen Yen, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jian Zhao

This Distinguished Public Lecture will take place in the Humanities Theatre.

Vinton G. Cerf
Vice President and Chief Internet Evangelist
Google

Please note: This PhD seminar will take place online.

Tosca Lechner, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shai Ben-David

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

Matthias Weidlich, Professor
Chair on Databases and Information Systems
Department of Computer Science, Humboldt-Universität zu Berlin

Complex event processing emerged as a computational paradigm to detect patterns in event streams based on the continuous evaluation of event queries. Once such queries are evaluated in a network of event sources, efficient query evaluation may be achieved through the distributed evaluation of queries.