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Wednesday, August 10, 2022 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Algorithms and Complexity • Dispersion on Intervals: A Geometric Approach

Please note: This PhD seminar will take place online.

Anurag Murty Naredla, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Anna Lubiw

In the dispersion problem for ordered intervals, the input is an ordered list of intervals on the real line, and the task is to select one point from each interval, such that the ordering of points along the line respects the given ordering of intervals and such that the points are “far apart” from each other.

Wednesday, August 31, 2022 4:00 pm - 5:00 pm EDT (GMT -04:00)

PhD Seminar • Human-Computer Interaction • More Than Just Software Surprises: Purposes, Processes, and Directions for Software Application Easter Eggs

Please note: This PhD seminar will be given online.

Matthew Lakier, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Daniel Vogel

“Easter eggs” are features hidden inside software, and the practice of developers including them is a long-standing global phenomenon. They have seen some investigation in the context of games, but despite their prevalence in non-game software applications, their nature within this context is less clear.

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.