Seminar

Please note: This seminar will take place virtually over Zoom.

Tanvir Ahmed Khan, PhD candidate
Computer Science and Engineering, University of Michigan

Billions of people rely on web services powered by data centers, where critical applications run 24/7. Unfortunately, data center applications are extremely inefficient, wasting more than 60% of all processor cycles, and causing millions of dollars in operational expenses and energy costs.

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

Yongqiang (Victor) Tian, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Chengnian Sun

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

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

Supervisor: Professor Daniel Vogel

Please note: This PhD seminar will take place online.

Alessandra Luz, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Daniel Vogel

Please note: This seminar will take place virtually over Zoom.

Hsin-Yuan (Robert) Huang, PhD candidate
Computing and Mathematical Sciences, California Institute of Technology

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

Please note: This PhD seminar will take place online.

Yen-Ting (Allen) Yeh, PhD candidate
David R. Cheriton School of Computer Science

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.