Please note: This seminar will take place online.
Philip A. Bernstein
Distinguished Scientist, Microsoft Research
Affiliate Professor, University of Washington
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
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.
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.
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.
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:
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
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
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
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
Please note: This seminar will take place online.
Gustavo Alonso, Professor
Department of Computer Science, ETH Zürich
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
Please note: This seminar will take place in DC 1304.
Teodora Baluta, PhD candidate
Computer Science, National University of Singapore
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
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
Please note: This seminar will take place in DC 1304.
Han Shao, PhD candidate
Toyota Technological Institute at Chicago
Please note: This seminar will take place online.
Anwar Hithnawi, Research Fellow and Principal Investigator
Department of Computer Science, ETH Zurich
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
Please note: This PhD defence will take place online.
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.
John Kallaugher, Researcher
Sandia National Laboratories
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
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.
Please note: This seminar will take place online.
Tilmann Rabl, Chair for Data Engineering Systems
Hasso Plattner Institute
Please note: This seminar will take place in DC 1304.
Yang Zhou, PhD candidate
Computer Science, Harvard University
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.