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Monday, March 27, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Systems and Networking • Rescuing Data Center Processors

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.

Tuesday, March 28, 2023 9:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Machine Learning • Approaches and Techniques to Enhance Efficiency and Performance of Non-Contrastive Self-Supervised Learning Methods

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

Wednesday, March 29, 2023 12:00 pm - 1:00 pm EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence • Less is More: Parameter-Free Text Classification with Gzip

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.

Monday, April 3, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Human-Computer Interaction • Empowering Online Grassroots Creative Communities through Live Media

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Zhicong Lu, Assistant Professor
Department of Computer Science, City University of Hong Kong

The proliferation of video-sharing and livestreaming platforms such as YouTube, TikTok, and Twitch has catalyzed the growth of online creative communities, promoting cultural expression and preservation.

Tuesday, April 4, 2023 12:30 pm - 1:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Data Systems • Data-driven Estimation of Soiling Loss and Optimal Cleaning Schedule for a Utility-scale PV Plant

Please note: This master’s thesis presentation will take place online.

Abhinav Bora, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Srinivasan Keshav, Lukasz Golab