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

Earl T. Barr
Professor of Software Engineering
University College London

Please note: This seminar will take place in DC 1304 and online.

Themis Gouleakis, Senior Research Fellow
National University of Singapore

The enormous success of the field of machine learning in recent years and its ability to make accurate predictions using data has also influenced research in other areas. In this talk, we will explore such settings where “machine learned advice” can be exploited.

Please note: This PhD seminar will take place in DC 1304.

Sreeharsha Udayashankar, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

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

Bobby Miraftab, Postdoctoral Researcher
Algorithms, Graphs, and Geometry Lab, Carleton University

Please note: This PhD seminar will take place in DC 3102.

Andrew Na, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan

Please note: This PhD seminar will take place in DC 1304 and online.

Damien Masson, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Daniel Vogel, Géry Casiez, Sylvain Malacria

Please note: This PhD seminar will take place in DC 1304.

Ahmed Alquraan, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Bio: Ahmed is a 5^th-year PhD student working with Samer Al-Kiswany. His work focuses on utilizing new data center technologies to build efficient and reliable data stores.

Please note: This seminar will take place in DC 1304.

Kasper Hornbæk, Professor of Human-Centred Computing
Department of Computer Science, University of Copenhagen

Theory is supposed to be central to science. Yet the field of human-computer interaction (HCI) seems confused about what theory is and what to do with it.

Please note: This PhD defence will take place online.

Bailey Kacsmar, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

Privacy in machine learning holds great promise for enabling organizations to analyze data they and their partners hold while maintaining data subjects’ privacy.

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

Ishaq Aden-Ali, PhD candidate
Electrical Engineering and Computer Sciences
University of California, Berkeley