Current students

Please note: This PhD seminar will take place in DC 2310.

Kam Chuen (Alex) Tung, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lap Chi Lau

The classical Cheeger’s inequality relates the edge conductance of a graph and the second smallest eigenvalue of the Laplacian matrix. Recently, Olesker-Taylor and Zanetti discovered a Cheeger-type inequality connecting the vertex expansion of a graph and the maximum reweighted second smallest eigenvalue of the Laplacian matrix.

Please note: This PhD seminar will take place online.

Ji Xin, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jimmy Lin, Yaoliang Yu

Please note: This PhD defence will take place online.

Alexey Karyakin, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ken Salem

In main-memory database systems, memory can consume a substantial amount of power, comparable to that of the processors. However, existing memory power-saving mechanisms are much less effective than processor power management. Unless the system is almost idle, memory power consumption will be high.

Please note: This distinguished lecture will take place in DC 1302 and online.

Pascal Van Hentenryck
Associate Chair, Innovation and Entrepreneurship; A. Russell Chandler III Chair and Professor
H. Milton Stewart School of Industrial and System Engineering, Georgia Institute of Technology

Please note: This PhD seminar will take place online.

Ankit Vadehra, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Pascal Poupart, Olga Vechtomova

The task of Grammar Error Correction (GEC) entails designing a system that is capable of performing text improvement and correcting semantic/syntax inconsistencies in a text span (sentence), while grammar error detection (GED) is used to classify whether a sentence is correct or not.

Please note: This seminar will take place in DC 1302.

Vasiliki (Vasia) Kalavri, Assistant Professor
Department of Computer Science, Boston University

Enabling secure outsourced analytics with practical performance has been a long-standing research challenge in the database community. In this talk, I will present our work towards realizing this vision with Secrecy, a new framework for secure relational analytics in untrusted clouds.

Please note: This PhD seminar will take place online.

Nabil Bin Hannan, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law