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

Ehsan Jahangirzadeh Soure, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jian Zhao

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

Arash Moayyedi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Raouf Boutaba

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

Wael Al-Manasrah, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

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 defence will take place online.

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

Supervisor: Professor Anna Lubiw

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

Navid Malekghaini, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Raouf Boutaba

Please note: This distinguished lecture will take place in DC 1302 as well as livestreamed over Zoom.

Sheila McIlraith
Professor, Department of Computer Science, University of Toronto
Canada CIFAR AI Chair, Vector Institute for Artificial Intelligence
Associate Director and Research Lead, Schwartz Reisman Institute for Technology and Society

Please note: This PhD defence will take place online.

He (Richard) Bai, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ming Li

This thesis is about modeling text and speech sequences to achieve lower perplexity, better generation, and benefit downstream language tasks; specifically, we address the problem of modeling natural language sequences (text and speech) with Transformer-based language models. We present three new techniques that improve sequence modeling in different ways.