Please note: This PhD seminar will be given online.
Daniel Gabric, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jeffrey Shallit
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 seminar will be given in person in DC 1304 and online.
Vijay Subramanya, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Naomi Nishimura
Please note: This PhD seminar will be given in person in DC 1302 and online.
Zeou Hu, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Yaoliang Yu
Please note: This PhD seminar will be given online.
Dihong Jiang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Yaoliang Yu
Out-of-distribution (OOD) data come from a distribution that is different from training data. Detecting OOD data contributes to secure deployment of machine learning models. Currently, deep generative models have been widely used as an unsupervised approach for OOD detection.
Please note: This seminar will be given in person in DC 1304 and online.
Priyank Jaini, Research Scientist, Brain Team
Google Research
Please note: This master’s thesis presentation will be given online.
Christian Covington, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Xi He, Gautam Kamath
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
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 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 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.
Jiayi Chen, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Urs Hengartner
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 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 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 PhD defence will take place online.
Chang Ge, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ihab Ilyas
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.
