Current students

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Pengyu Nie, PhD candidate
Department of Electrical and Computer Engineering
University of Texas at Austin

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Sunoo Park
Postdoctoral Fellow, Columbia University
Visiting Fellow, Columbia Law School

My research focuses on the security, privacy, and transparency of technologies in societal and legal context. My talk will focus on three of my recent works in this space, relating to (1) preventing exploitation of stolen email data, (2) enhancing accountability in electronic surveillance, and (3) legal risks faced by security researchers.

Please note: This PhD seminar will take place in DC 2564.

Wenhan (Cosmos) Zhu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Michael Godfrey

Some chairs may look futuristic, but a particular chair at the Cheriton School of Computer Science is futuristic. It has been custom fitted with sensors, servos, computers and a small projector by a team of human-computer interaction researchers to create an office chair as a platform for personal spatial augmented reality.

Please note: This PhD defence will take place online.

Charupriya Sharma, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Peter van Beek

From the sepia tones of a Coen brothers film set in the Dust Bowl to a child’s red coat in Schindler’s List, filmmakers have long known the power of colour in movies. Now, computer scientists have analyzed 60 years of movies to paint a picture of the hues used in films.

Using a technique called k-means clustering, researchers at the Cheriton School of Computer Science have analyzed the trailers for more than 29,000 North American movies released between 1960 and 2019.

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Jason Hartford, Postdoctoral researcher
Mila, Quebec

Causal inference provides a powerful suite of tools through which economists, epidemiologists, and the social sciences understand the world. But textbook causal inference methods limit the questions that scientists can ask because they rely on classical statistical estimation techniques.

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Swati Mishra, PhD candidate
Computing and Information Science Department, Cornell University

Please note: This seminar will take place in DC 3317.

Christian Janos Lebeda, PhD candidate
Basic Algorithms Research Copenhagen
Algorithms Group, IT University of Copenhagen