Events

Please note: This PhD seminar will be given online.

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

Supervisor: Professor Eric Blais

A body K ⊂ Rⁿ is convex if and only if the line segment between any two points in K is completely contained within K or, equivalently, if and only if the convex hull of a set of points in K is contained within K.

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.

Genseric Ghiro, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Olga Veksler

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

Shahzaib Ali, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Tim Brecht

Please note: This PhD seminar will be given online.

Wei Zhong, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

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 DLS presentation will be given in person in DC 1302 and livestreamed over MS Teams.

Tony Chan
President, King Abdullah University of Science and Technology (KAUST)
Professor, Applied Mathematics and Computational Science

In its modern incarnation, computational mathematics is a discipline that blossomed only after WWII. But even in its relatively brief history, there have been some major shifts in its methodology, emphasis, and applications.

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 PhD seminar will be given online.

Yuqing Xie, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Ming Li, Jimmy Lin

I would like to share the work I did during the internship with AWS AI about Backward-Compatibility NLP models. Behavior of deep neural networks can be inconsistent between different versions. Regressions during model update are a common cause of concern that often over-weigh the benefits in accuracy or efficiency gain. 

Please note: This seminar will be given in person in DC 1302 and livestreamed.

Renée Miller, University Distinguished Professor of Computer Science
Khoury College of Computer Sciences, Northeastern University