Zahaib Akhtar

I’m an Applied Scientist at Amazon Prime Video where I’m part of the Playback Optimization Team. My research interests are in Internet Video, Content Delivery and Measurements. I look to apply data driven insights to solve problems in these areas. I received my PhD in Computer Science from USC where I was advised by Ramesh Govindan at the Networked Systems Lab.

News

4/1/2024

3/28/2024

10/28/2023


9/27/2023

6/28/2023
My team at Prime Video will welcome three PhD student interns for summer 2024.

I'll be serving on the EMS Workshop TPC, collocated with SIGCOMM 2024.

Gave an invited talk at UC Santa Cruz on topics in Internet Video Research, I was hosted by Prof. Katia Obraczka at i-NRG lab.

Gave a talk at Prime Video's Career Week on emerging ML/AI themes in video streaming.

Won Customer Obsession Award from Prime Video Experience Tech on development of a novel ABR algorithm for Livestreaming.

Publications

CoNEXT 2022


CoNEXT 2019


IMC 2018


SIGCOMM 2018



ICASSP 2016



Elsevier Comp. Nets 2016
Talha Waheed, Zahaib Akhtar, Ihsan Ayyub Qazi, Zafar Ayyub Qazi. Coal not Diamonds: How Memory Pressure Falters Mobile Video QoE. In ACM CoNEXT 2022, Rome, Italy.

Zahaib Akhtar, Yaguang Li, Ramesh Govindan, Emir Halepovic, Shuai Hao, Yan Liu, Subhabrata Sen. AViC: A Cache for Adaptive Bitrate Video. In ACM CoNEXT 2019, Florida, USA.

Zahaib Akhtar, Yun Seong Nam, Jessica Chen, Ramesh Govindan, Ethan Katz-Bassett, Sanjay Rao, Jibin Zhan, Hui Zhang. Understanding Video Management Planes. In ACM IMC 2018, Boston, USA

Zahaib Akhtar, Yun Seong Nam, Ramesh Govindan, Sanjay Rao, Jessica Chen, Ethan Katz-Bassett, Bruno Ribeiro, Jibin Zhan, Hui Zhang. Oboe: Auto-tuning Video ABR Algorithms to Network Conditions. In ACM SIGCOMM 2018, Budapest, Hungary

Xing Xu, Zahaib Akhtar, Wyatt Lloyd, Antonio Ortega, Ramesh Govindan. Context adaptive thresholding and entropy coding for very low complexity JPEG transcoding. In IEEE ICASSP 2016, Beijing, China

Zahaib Akhtar, Alefiya Hussain, Ethan Katz-Bassett, Ramesh Govindan. DBit: Assessing statistically significant differences in CDN performance in Elsevier Computer Network Journal 2016
For full list, see Google Scholar.

Academic Service

Reviewing for Conferences/Workshops/Posters

  • ACM CoNEXT 2024 TPC
  • The Web Conf 2024 TPC (Systems and Infrastructure Track)
  • ICSE 2024 (external reviewer)
  • ACM CoNEXT 2022 TPC
  • ACM SIGCOMM 2020 Poster PC

Reviewing for Journals

  • IEEE Transactions on Networking
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Network and Service Management