Events by month

PLEASE NOTE: THIS PHD SEMINAR HAS BEEN CANCELLED.

Minghan Li, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Please note: This distinguished lecture will take place in DC 1302 and virtually over Zoom.

Tim Roughgarden, Professor
Computer Science Department, Columbia University
Head of Research, a16z crypto

Please note: This PhD seminar will take place online.

Valerie Platsko, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Kate Larson

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 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.

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 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 online.

Saikat Dutta, PhD candidate
Department of Computer Science, University of Illinois Urbana-Champaign

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 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 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 online.

David Radke, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kate Larson, Tim Brecht

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 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.

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

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 3317.

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

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 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.

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 seminar will take place virtually over Zoom.

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

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 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 online.

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

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 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 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 seminar will take place in DC 1304 and virtually over Zoom.

Nicholas Spooner, Assistant Professor
Department of Computer Science, University of Warwick

Please note: This PhD seminar will take place online.

Zhiying Jiang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Deep neural networks (DNNs) are often used for text classification due to their high accuracy. However, DNNs can be computationally intensive, requiring millions of parameters and large amounts of labeled data, which can make them expensive to use, to optimize, and to transfer to out-of-distributed (OOD) cases in practice.

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 seminar will take place in DC 1304 and virtually over Zoom.

Florian Rabe
Friedrich-Alexander-Universität Erlangen-Nürnberg