Thesis defence

Please note: This PhD defence will take place online.

Edward Eaton, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Douglas Stebila, Alfred Menezes

Please note: This PhD defence will take place online.

Venkata Abhinav Bommireddi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Eric Blais

Convexity plays a prominent role in both mathematics and computer science. It is defined for sets and functions, and many problems related to them can be solved efficiently given the guarantee that the set/function is convex. In this thesis, we focus on three problems related to convexity where we don’t have that guarantee.

Please note: This master’s thesis presentation will be given online.

Ashraf Abdel-hadi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Please note: This PhD defence will take place online.

Chang Ge, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ihab Ilyas

Please note: This master’s thesis presentation will be given online.

John Abraham Premkumar, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

Please note: This master’s thesis presentation will be given online.

Wanxin Li, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Lila Kari, Yaoliang Yu

Please note: This PhD defence will take place online.

Jiayi Chen, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Urs Hengartner

Please note: This master’s thesis presentation will be given online.

Rory Soiffer, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shalev Ben-David

Quantum query complexity measures the minimum number of queries a quantum algorithm needs to make to some input string to compute a function of that input. Query complexity models are widely used throughout quantum computing, from setting limits on quantum algorithms to analyzing post-quantum cryptography.

Please note: This master’s thesis presentation will be given online.

Saiyue Lyu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Mark Giesbrecht, Arne Storjohann

Please note: This master’s thesis presentation will be given online.

Lizhe Chen, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Olga Veksler

In recent research, the self-supervised video representation learning methods have achieved improvement by exploring video’s temporal properties, such as playing speeds and temporal order. These works inspire us to exploit a new artificial supervision signal for self-supervised representation learning: the change of video playing speed.