Dr. Abdelhak Bentaleb, PhD

Assistant Professor, Computer Science and Software Engineering

Contact information

Email:

abdelhak.bentaleb@concordia.ca

Website:

Personal Website

Biography

Biography (Abdelhak Bentaleb)

Dr. Abdelhak Bentaleb is an Assistant professor of Computer Science at Concordia University. He is also one of the co-founders of Atlastream PTE LTD. Dr. Bentaleb has been selected as an Area Chair (AC) and chair session for the ACM Multimedia (ACM MM) at Lisbon, Portugal. Also, he served as reproducibility chair for the ACM Multimedia Systems Conference (MMSys) in the last three years.

His main research interests are in networking and multimedia systems optimizations with machine learning, networked multimedia and systems, computer systems and networks, video streaming architecture and content delivery, Immersive media technologies, networked game systems, network systems and protocols, edge and distributed computing, wireless communication and mobile networking, applied machine and deep learning systems in networking, IoT systems.

His current research project and goal is to design and build practical machine/deep learning models for large-scale real-world networked systems. Specifically, it focuses on investigating a new paradigm based on practical machine/deep learning techniques for solving challenging QoE optimization and congestion control problems in video delivery systems. Rather than design fixed algorithms, the aim is to develop data-driven systems that can dynamically learn to optimize the performance on their own using modern machine and deep learning techniques (e.g., deep reinforcement learning, meta learning, imitation learning, and supervised learning). As a result of well understanding and optimizing the video streaming QoE as well as adjusting congestion control based on various requirements of video streaming applications and services.

He obtained his Ph.D. from National University of Singapore and his dissertation was about enabling optimizations of video delivery in HTTP Adaptive Streaming, received two prestigious awards: SIGMM Award for Outstanding Ph.D. Thesis and DASH Industry Forum Best Ph.D. Dissertation Award. He continued to serve as a Post Doctoral Research Fellow for three years at National University of Singapore. Many papers (more than 40) resulting from his research have been published in top venues on the above related research topics and he won several prestigious awards.

Teaching activities

Graduate

COMP 691: Artificial Intelligence for Networked Multimedia Systems

Undergraduate

COMP 445: Data Communications & Computer Networks

Publications

2022

F. Tashtarian*, A. Bentaleb*, A. Erfanian, H. Hellwagner, C. Timmerer, and R. Zimmermann, “HxL3:Optimized Delivery Architecture for HTTP Low-Latency Live Streaming”, IEEE Transactions on Multimedia,vol. x, no. x, p. x, 2022, paper accepted, [ISI IF: 6.05], *: Equal Contribution.
B. Taraghi, A. Bentaleb, C. Timmerer, R. Zimmermann, and H. Hellwagner, “Cadvise or how to find the sweetspots of abr systems”, in Proceedings of the 1st Mile-High Video Conference, 2022, pp. 94–94.[4] M. Lim, M. N. Akcay, A. Bentaleb, A. C. Begen, and R. Zimmermann, “The benefits of server hinting whendashing or hlsing”, in Proceedings of the 1st Mile-High Video Conference, 2022, pp. 52–55.
R. Farahani, H. Amirpour, F. Tashtarian, A. Bentaleb, C. Timmerer, H. Hellwagner, and R. Zimmermann,“Richter: Hybrid p2p-cdn architecture for low latency live video streaming”, in Proceedings of the 1st Mile-HighVideo Conference, 2022, pp. 87–88.
N. Lakshmanan, A. Bentaleb, B. Choi, R. Zimmermann, J. Han, and M. S. Kang, “On privacy risks of watchingyoutube over cellular networks with carrier aggregation”, Proceedings of the ACM on Interactive, Mobile, Wearableand Ubiquitous Technologies, vol. 6, no. 1, pp. 1–22, 2022.
A. C. Begen, M. N. Akcay, A. Bentaleb, and A. Giladi, “Adaptive streaming of content-aware-encoded videos in dash. js”, SMPTE Motion Imaging Journal, vol. 131, no. 4, pp. 30–38, 2022.

2021

A. C. Begen, A. Bentaleb, D. Silhavy, S. Pham, R. Zimmermann, and W. Law, “Road to salvation: Streamingclients and content delivery networks working together”, IEEE Communications Magazine, vol. 59, no. 11,pp. 123–128, 2021, [ISI IF: 11.05].
F. Tashtarian, R. Falanji, A. Bentaleb, A. Erfanian, P. Mashhadi, C. Timmerer, H. Hellwagner, andR. Zimmermann, “Quality optimization of live streaming services over http with reinforcement learning”, in 2021IEEE Global Communications Conference (GLOBECOM), IEEE, 2021, pp. 1–6.
F. Tashtarian, B. Abdelhak, R. Farahani, M. Nguyen, C. Timmerer, H. Hellwagner, and R. Zimmermann, “Adistributed delivery architecture for user generated content live streaming over http”, in 2021 IEEE 46thConference on Local Computer Networks (LCN), IEEE, 2021.
A. Bentaleb, M. Lim, M. N. Akcay, A. C. Begen, and R. Zimmermann, “Common media client data (cmcd)initial findings”, in Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for DigitalAudio and Video, 2021.
P. K. Yadav, A. Bentaleb, M. Lim, J. Huang, W. T. Ooi, and R. Zimmermann, “Playing chunk-transferred dashsegments at low latency with qlive”, in Proceedings of the 12th ACM Multimedia Systems Conference, 2021,pp. 51–64.
M. J. Khan, A. Bentaleb, and S. Harous, “Can accurate future bandwidth prediction improve volumetric videostreaming experience?”, in 2021 International Wireless Communications and Mobile Computing (IWCMC), IEEE,2021.
S. Tisa, A. Bentaleb, S. Harous, et al., “Video qoe inference with machine learning”, in 2021 InternationalWireless Communications and Mobile Computing (IWCMC), IEEE, 2021, pp. 1048–1053.
A. Bentaleb, A. C. Begen, and R. Zimmermann, “Catching the Moment with LoL in Twitch-Like Low-LatencyLive Streaming Platforms”, IEEE Transactions on Multimedia, vol. x, no. x, p. x, 2021, paper accepted, [ISI IF:6.05].
T. Babak, A. Bentaleb, T. Christian, H. Hermann, and R. Zimmermann, “Understanding Quality-of-Experienceof Heuristic-based HTTP Adaptive Bitrate Algorithms”, in ACM NOSSDAV, 2021.

Full List

Full list of publications can be found: https://scholar.google.com/citations?hl=en&user=rRq6FiAAAAAJ&view_op=list_works

Awards and Honors

DASH-IF Excellence in DASH Award (2nd place)
dash.js Contributor Awards (3rd place)
Twitch’s Grand Challenge on Adaptation Algorithms for Near-Second Latency (2nd place)
SIGMM Award for Outstanding PhD Thesis
Best Poster at Computing Research Week
DASH-IF Best PhD Dissertation Award (1st place)
DASH-IF Excellence in DASH Award (1st place)
The 7th Heidelberg Laureate Forum (HLF) 2019
The Global Young Scientists Summit (GYSS)
NUS Dean’s Graduate Research Excellence Award
IEEE ICME Grand Challenges on DASH (1st place)
DASH-IF Excellence in DASH Award (1st place)
ACM MMSys Best Student Paper Award
NUS Dean’s Graduate Research Achievement Awards September