March 2024

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Wednesday, March 6, 2024 — 10:30 AM to 11:30 AM EST

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

Amin Timany, Assistant Professor
Logic and Semantics Group, Department of Computer Science, Aarhus University

Wednesday, March 6, 2024 — 3:00 PM to 4:00 PM EST

Please note: This PhD seminar will take place online.

Joseph Scott, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jo Atlee, Vijay Ganesh

Thursday, March 7, 2024 — 10:30 AM to 11:30 AM EST

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

Jun Gao, PhD candidate
Department of Computer Science, University of Toronto

3D content is key in several domains, such as VR/AR, architecture, film, gaming, and robotics, and lies in the heart of the metaverse applications. While generative AI has achieved significant success in language, image, and video, its application in 3D content encounters fundamental challenges in the scarcity of 3D training data and increased complexities inherent in 3D.

Monday, March 11, 2024 — 10:30 AM to 11:30 AM EDT

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

Yang Zhou, PhD candidate
Computer Science, Harvard University

Tuesday, March 12, 2024 — 1:30 PM to 2:30 PM EDT

Please note: This seminar will take place online.

Tilmann Rabl, Chair for Data Engineering Systems
Hasso Plattner Institute

Tuesday, March 12, 2024 — 3:00 PM to 4:00 PM EDT

Please note: This seminar will take place online.

Xiangyao Yu, Assistant Professor
Computer Sciences Department, University of Wisconsin-Madison

The performance gap between GPUs and CPUs has been widening over years as the hardware improves. Existing GPU databases demonstrate good performance, but suffer from limited GPU memory capacity and PCIe bandwidth, thereby failing to scale to large datasets. We conduct a series of projects to address these challenges, paving the way for wider GPU database adoption.

Wednesday, March 13, 2024 — 10:30 AM to 11:30 AM EDT

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

Reto Achermann, Postdoctoral Research Fellow, Systopia Lab 
Department of Computer Science, University of British Columbia

Thursday, March 14, 2024 — 10:30 AM to 11:30 PM EDT

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

John Kallaugher, Researcher
Sandia National Laboratories

Thursday, March 14, 2024 — 5:30 PM to 8:30 PM EDT

Please note: This PhD defence will take place online.

Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jesse Hoey

Friday, March 15, 2024 — 2:00 PM to 3:00 PM EDT

Please note: This CrySP Speaker Series on Privacy talk will take place in DC 1302 and online.

Yibin Yang, PhD candidate
School of Computer Science, Georgia Institute of Technology

Monday, March 18, 2024 — 10:30 AM to 11:30 AM EDT

Please note: This seminar will take place online.

Anwar Hithnawi, Research Fellow and Principal Investigator
Department of Computer Science, ETH Zurich

Wednesday, March 20, 2024 — 10:30 AM to 11:30 AM EDT

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

Han Shao, PhD candidate
Toyota Technological Institute at Chicago

Wednesday, March 20, 2024 — 1:30 PM to 2:30 PM EDT

Please note: This master’s thesis presentation will take place in DC 2314 and online.

Alice Murphy, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Mohammad Hajiabadi

Wednesday, March 20, 2024 — 3:00 PM to 4:00 PM EDT

Please note: This PhD seminar will take place in DC 2585.

Yudong Luo, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart

Thursday, March 21, 2024 — 10:30 AM to 11:30 AM EDT

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

Teodora Baluta, PhD candidate
Computer Science, National University of Singapore

Thursday, March 21, 2024 — 1:00 PM to 2:00 PM EDT

Please note: This PhD seminar will take place in DC 2310.

Blake VanBerlo, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jesse Hoey, Alexander Wong

Thursday, March 21, 2024 — 1:30 PM to 2:30 PM EDT

Please note: This seminar will take place online.

Gustavo Alonso, Professor
Department of Computer Science, ETH Zürich

Thursday, March 21, 2024 — 3:00 PM to 4:00 PM EDT

Please note: This seminar will take place online.

Wolfgang Lehner, Director, Institute of Systems Architecture
Head, Database Research Group, TU Dresden

Alexander Krause, Postdoctoral Researcher
Database Research Group, TU Dresden

Friday, March 22, 2024 — 1:30 PM to 2:30 PM EDT

Please note: This master’s thesis presentation will take place in DC 2310 and online.

Xiaoyan Xu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shane McIntosh

Monday, March 25, 2024 — 12:00 PM to 1:00 PM EDT

Please note: This PhD seminar will take place in DC 2310.

Murray Dunne, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Sebastian Fischmeister

Monday, March 25, 2024 — 2:30 PM to 3:30 PM EDT

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

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

Supervisor: Professor Samer Al-Kiswany

Tuesday, March 26, 2024 — 3:00 PM to 4:00 PM EDT

Please note: This seminar has been CANCELLED.

Juba Ziani, Assistant Professor
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech

In this talk, I will be discussing “personalized” (or “individualized”) differential privacy, where different individuals can be offered different epsilons simultaneously within the same computation. I will be presenting two of my recent works on personalized DP in the central model:

Wednesday, March 27, 2024 — 10:30 AM to 11:30 AM EDT

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

Lunjia Hu, PhD candidate
Computer Science Department, Stanford University

Machine learning holds significant potential for positive societal impact. However, in critical applications involving people such as healthcare, employment, and lending, machine learning raises serious concerns of fairness, robustness, and interpretability. Addressing these concerns is crucial for making machine learning more trustworthy.

Wednesday, March 27, 2024 — 12:00 PM to 1:00 PM EDT

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

Mahsa Derakhshan, Assistant Professor
Khoury College of Computer Sciences, Northeastern University

In this talk, we discuss the stochastic vertex cover problem. In this problem, G is an arbitrary known graph, and G* is an unknown random subgraph of G containing each of its edges independently with a known probability p. Edges of G* can only be verified using edge queries. The goal in this problem is to find a minimum vertex cover of G* using a small number of queries.

Wednesday, March 27, 2024 — 12:30 PM to 1:30 PM EDT

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

Shubhankar Mohapatra, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Xi He

Despite several works that succeed in generating synthetic data with differential privacy (DP) guarantees, they are inadequate for generating high-quality synthetic data when the input data has missing values.

Thursday, March 28, 2024 — 12:00 PM to 1:00 PM EDT

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

Yiwei Lu, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Yaoliang Yu, Sun Sun

Thursday, March 28, 2024 — 3:00 PM to 4:00 PM EDT

Please note: This seminar will take place online.

Philip A. Bernstein
Distinguished Scientist, Microsoft Research
Affiliate Professor, University of Washington

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