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

Monday, April 1, 2024 — 10:30 AM to 11:30 AM EDT

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

Sarah Cen, PhD candidate
Electrical Engineering and Computer Science Department, MIT

We have begun grappling with difficult questions related to the rise of AI, including: What rights do individuals have in the age of AI? When should we regulate AI and when should we abstain? What degree of transparency is needed to monitor AI systems? These questions are all concerned with AI accountability: determining who owes responsibility and to whom in the age of AI.

Wednesday, April 3, 2024 — 10:30 AM to 11:30 AM EDT

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

Misha Khodak, PhD candidate
Computer Science Department, Carnegie Mellon University

Advances in machine learning (ML) have led to skyrocketing demand across diverse applications beyond vision and text, resulting in unique theoretical and practical challenges. The vastness of use cases calls for general-purpose yet customizable tools for tackling large subclasses of such problems.

Wednesday, April 3, 2024 — 2:00 PM to 3:00 PM EDT

Please note: This CrySP Speaker Series on Privacy talk will take place in MC 5501 and online.

Kathrin Hövelmanns, Tenured Assistant Professor
Applied and Provable Security group, TU Eindhoven

Thursday, April 4, 2024 — 10:30 AM to 11:30 AM EDT

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

Xupeng Miao, Postdoctoral Researcher
Computer Science Department, Carnegie Mellon University

In this talk, I will introduce my work on machine learning (ML) parallelization, a critical endeavor to bridge the significant gap between diverse ML programs and multitiered computing architectures. Specifically, I will explore ML parallelization at three distinct yet interconnected levels.

Thursday, April 4, 2024 — 4:30 PM to 6:30 PM EDT
CS 383 Computational Art Exhibition poster

CS/FINE 383 is a third-year studio course where students work in an interdisciplinary environment to combine computer science principles with fine art technical and conceptual skills. Experience novel computational art works and aesthetic experiences using generative agents, advanced computer vision, distributed computing, and more.

Where is the Computational Art Exhibition?

Friday, April 5, 2024 — 10:00 AM to 11:00 AM EDT

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

Sheng-Chieh (Jack) Lin, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Friday, April 5, 2024 — 1:00 PM to 2:00 PM EDT

Please note: This lecture will take place in DC 1302 and online.

Sanjeev Khanna
Henry Salvatori Professor of Computer and Information Science
University of Pennsylvania

Friday, April 5, 2024 — 1:00 PM to 4:00 PM EDT

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

Kira Selby, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart

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