Purdue University
Dec 2023 (expected)
Ph.D. in Electrical and Computer Engineering
Jordan University of Science and Technology
Aug 2015
B.Sc in Computer Engineering
Uppsala University
Fall 2014
International Studies Program
Hello
, it's me
Ehab Ghabashneh●
I am a Ph.D. candidate at Purdue University focusing on the area of computer networks
and software systems. Specifically, I develop measurement-based network systems
to optimize Internet applications. Through my PhD, I constructed a longstanding
collaboration with Meta to build large-scale network system to characterize traffic dynamics.
📣📣
I am currently open to research scientist and software
engineering positions
Education
Research Projects
Through Ph.D., I led the following projects:
Dragonfly. A new 360° system designed for interactivity by proactively skipping playback stalls while maintaining high perceptual quality.
Millisampler. Characterization tool of traffic bursts, buffer contention, and loss which is deployed across all Meta (AKA Facebook) servers.
MPC-CDN. A modified version of MPC (i.e., adaptive bitrate algorithm) which incorporates Content-Delivery-Networks(CDN) information for higher throughput prediction accuracy.
P-VP9. A modified version of VP9 (i.e., Google video encoder) to parallelize encoding and transmission of 4K video frames. [Project stopped]
Work Experience
Research Scientist @ Meta
Aug '21 - Jul '22
Ph.D. Software Engineer Intern @ Meta
Summer '21
Software Engineer @ Facebook
Nov '20 - Apr '21
Ph.D. Software Engineer Intern @ Facebook
Summer '20
Publications
“Dragonfly: Higher Perceptual Quality For Continuous 360∘ Video Playback.” Ehab Ghabashneh, Chandan Bothra, Ramesh Govindan, Antonio Ortega, and Sanjay Rao. In Proceedings of ACM SIGCOMM, September 2023 (AcceptanceRate: 22%)
“A microscopic view of bursts, buffer contention, and loss in data centers.” Ehab Ghabashneh, Yimeng Zhao, Cristian Lumezanu, Neil Spring, Srikanth Sundaresan, and Sanjay Rao. In Proceedings of ACM IMC, October 2022 (Acceptance rate: 26.4%)
“Xatu:Richer Neural Network Based Prediction for Video Streaming.” Yun Seong Nam,Jianfei Gao,Chandan Bothra,Ehab Ghabashneh,Sanjay Rao, Bruno Ribeiro, Jibin Zhan, and Hui Zhang. In Proceedings of ACM SIGMETRICS, June 2022 (Acceptance rate: 19.5%)
“Exploring the Interplay Between CDN Caching and Video Streaming Performance.” Ehab Ghabashneh,and Sanjay Rao. In Proceedings of IEEE INFOCOM, July 2020 (Acceptance rate: 19.8%)
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