Behnam Pourghassemi
Abstract
Brief Biography: Behnam Pourghassemi is a fth-year Ph.D. student in Computer Engineering at the University of California, Irvine. His research primarily revolves around performance analysis and privacy on the web including work- load characterization of web browsers, online advertising, and tracking ecosystem. He is interested in designing and developing scalable and low-overhead pro ling tools for pri- vacy and performance measurements. His previous research was in HPC and parallel computing with the focus on GPU acceleration and fault-tolerance. He earned his M.Sc. in Computer Engineering from UCI in 2017 and his B.Sc. in Electrical Engineering from Sharif University in 2015 with honor.
- B. Pourghassemi, A Amiri Sani, and A. Chandramowlish- waran, \What-If Analysis of Page Load Time in Web Browsers Using Causal Pro ling", Proceedings of the ACM on Measurement and Analysis of Computing Sys- tems (SIGMETRICS 2019)Google Scholar
- B. Pourghassemi, J. Bonecutter, Z. Li, A. Chan- dramowlishwaran, \Impact of No Consent: Charac- terizing the Performance of Third-party Ads", under revision of The World Wide Web Conference (WWW 2020)Google Scholar
- B. Pourghassemi and A. Chandramowlishwaran, \Cu- daCR: an in-kernel application-level checkpoint/restart scheme for CUDA-enabled GPUs", IEEE International Conference on Cluster Computing (CLUSTER 2017)Google Scholar
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