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Monday, October 17, 2022 10:30 am - 11:30 am EDT (GMT -04:00)

DSG Seminar Series • Efficient Collaborative Analytics With No Information Leakage: An Idea Whose Time Has Come

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.

Wednesday, October 19, 2022 11:00 am - 12:00 pm EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence • Error Detection to Improve Grammar Error Correction Models

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.

Wednesday, October 19, 2022 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Algorithms and Complexity • Cheeger Inequalities for Vertex Expansion and Reweighted Eigenvalues

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.

Thursday, October 20, 2022 4:00 pm - 5:00 pm EDT (GMT -04:00)

PhD Seminar • Machine Learning | Self-driving AI • A lecture on “Classifying travelers’ driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning”

Please note: This PhD seminar will take place in DC 2568.

Connor Raymond Stewart, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Krzysztof Czarnecki, Paulo Alencar