Please note: This PhD seminar will take place in DC 1304 and virtually.
Matthew Lakier, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
Please note: This master’s thesis presentation will take place online.
Ali Saheb Pasand, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ali Ghodsi
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.
Pengyu Nie, PhD candidate
Department of Electrical and Computer Engineering
University of Texas at Austin
Please note: This PhD seminar will take place in DC 1304.
Khaled Ammar, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Tamer Özsu, Semih Salihoglu
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.
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 online.
Johann Wentzel, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
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 3317.
Christian Janos Lebeda, PhD candidate
Basic Algorithms Research Copenhagen
Algorithms Group, IT University of Copenhagen
Please note: This PhD seminar will take place in DC 1304.
Besat Kassaie, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Frank Tompa
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 PhD seminar will take place in DC 2314 and virtually over Zoom.
Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jesse Hoey
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Shlomi Steinberg, PhD candidate
University of California, Santa Barbara
Rendering and path-tracing techniques power most of the complex computer-generated content we see in films and movies, visualizations and even video games. However, these techniques are strictly confined to ray optics, while many applications often require simulating the interference and diffraction phenomena, that arise from the wave nature of light.
Please note: This PhD seminar will take place online.
David Radke, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Kate Larson, Tim Brecht
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 3317.
Abhibhav Garg, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Rafael Oliveira
Please note: This PhD seminar will take place online.
Nikhita Joshi, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
Please note: This seminar will take place online.
Saikat Dutta, PhD candidate
Department of Computer Science, University of Illinois Urbana-Champaign
Please note: This master’s thesis presentation will take place in DC 3317 and virtually over Zoom.
Xuejun Du, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jian Zhao
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Stephanie Wang, PhD candidate
University of California, Berkeley
Scaling applications with distributed execution has become the norm. With the rise of big data and machine learning, more and more developers must build applications that involve complex and data-intensive distributed processing.
Please note: This seminar will take place online.
Ananya Kumar, PhD candidate
Department of Computer Science, Stanford University
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Freda Shi, PhD candidate
Toyota Technological Institute at Chicago
Please note: This PhD seminar will take place online.
Valerie Platsko, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Kate Larson