Dr. Abdelhak Bentaleb

I'm

Assistant Professor in Computer Science

Recruiting

I am actively seeking self-motivated graduate and undergraduate students to join my research team. If you are enthusiastic about pursuing a PhD or Master's degree and are interested in working with me, I have a number of exciting openings available.

Before reaching out, I encourage you to review my research interests to ensure alignment with your own academic and professional aspirations. If you find a suitable match, kindly send me an email including your resume and transcripts.



Recent News

  • (New!) [10/2023] (Paper) Our survey paper on evolution of low-latency live media streaming is online Arxiv 2023.

  • (New!) [07/2023] (Paper) Our paper ARTEMIS accepted to USENIX NSDI’24.

  • (New!) [04/2023] (Paper) Our paper Ahaggar accepted to IEEE INFOCOM’23.


Research Interests

My current research encompasses three key areas:


  • Multimedia Systems
  •  + Video streaming and content delivery Optimization
     + Networked systems for immersive media processing, streaming, display
     + Ultra-low-latency networking for AR/VR/XR applications
     + Wireless and mobile media streaming systems
     + Metaverse and XR applications in 5G & 6G wireless networks
     + Edge cloud systems for emerging multimedia experiences
     + Quality of Experience for emerging multimedia
     + Transport layer optimization for video streaming applications
     + Real-time communication (RTC) protocols
     + Design, analysis, and evaluation of network-assisted multimedia system architectures
     + Networked Game systems and streaming optimization
     + Real-time communication (RTC) protocols and systems
     + Sustainable multimedia systems
  • Networking Systems
  •  + 5G/6G and beyond networks
     + Cloud computing/mobile cloud computing
     + Energy efficiency in networks
     + Edge and fog computing/networking
     + Congestion control optimization for delay/badnwdith sensetive application
     + Quality-of-service and resource management
     + Internet of Everthing (IoE) and digital twin
  • Applied AI/ML for Networking and Multimedia Systems
  •  + ML/AI and LLMs for Networking and Multimedia Systems
     + Edge AI
     + Deep Reinforcement Learning for Networking and Multimedia Systems
     + Meta/continuous Learning, Transfer Learning, Online Learning for Networking and Multimedia Systems
     + Federated and Distributed Learning for for Networking and Multimedia Systems

Short Bio

Dr. Abdelhak Bentaleb is an Assistant professor at CSSE departement at Concordia University. He is the founder and director of IN2GM Lab. His main research interests are in broadly networking and multimedia systems optimizations with machine learning, networked multimedia and systems, next generation networks (5G/6G), 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 end-to-end AI-enabled large-scale networked multimedia 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 2D/3D video delivery systems (e.g., video-on-demand, low latency video delivery, real-time communication (RTC), and volumetric immersive video delivery), including video provisioning (processing and compression), video delivery, and video playback. 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. He is the co-inventor of 3 patent filings and many papers (more than 50) resulting from his research have been published in top venues on the above related research topics and he won several prestigious awards.


Awards & Honors

  • DASH-IF Excellence in DASH Award (2nd place), 2021
  • dash.js Contributor Award (3rd place), 2020
  • Twitch’s Grand Challenge on Adaptation Algorithms for Near-Second Latency (2nd place), 2020
  • SIGMM Award for Outstanding PhD Thesis, 2019
  • Best Poster at NUS Computing Research Week, 2019
  • DASH-IF Best PhD Dissertation Award (1st place), 2019
  • DASH-IF Excellence in DASH Award (1st place), 2019
  • The 7th Heidelberg Laureate Forum (HLF), 2019
  • The Global Young Scientists Summit (GYSS), 2018
  • NUS Dean’s Graduate Research Excellence Award, 2018
  • IEEE ICME Grand Challenges on DASH (1st place), 2018
  • DASH-IF Excellence in DASH Award (1st place), 2018
  • ACM MMSys Best Student Paper Award, 2017
  • NUS Dean’s Graduate Research Achievement Awards, 2017

IN2GM Lab (Students)

  • Current PhD Students
  •  + Most Husne Jahan (2023-, MSc Toronto Metropolitan University, Canada)
     + Muhammad Talha Zia (2023-, MSc University of Bedfordshire, UK)
  • Current MSc Students
  •  + Jashan Sidhu (2023-, BSc Thapar Institute of Engineering and Technology, India)
     + Chidambar Joshi (2023-, BSc Gogte Institute of Technology, India)
  • Current BSc Students
  •  + Jeremy Ouellette (2023-, Concordia University, Canada)
     + Maxime Landry (2023-, Concordia University, Canada)

List of Publications

google scholar dblp

On this page: Papers · Dissertation · Patents

Papers

2023

2022

2021

2020

2019

2018 and earlier

Dissertation

Patents

Teaching

  • Winter 2024
  •  + COMP 6461: Computer Networks and Protocols
  • Fall 2023
  •  + COMP 445: Data Communication and Computer Networks
     + COMP 691: AI for Networked Multimedia Systems
  • Winter 2023
  •  + COMP 445: Data Communication and Computer Networks
     + COMP 6461: Computer Networks and Protocols

Services

Professional Services

  • TPC Chair: ACM MMSys (2019-2023), ACM MM (2019-2023)
  • TPC Member: ACM MMSys (2019-2023), ACM MM (2019-2023), ACM NOSSDAV (2019-2021), IEEE ICME (2018-2019)
  • Program Committee: ACM MMSys (2017-2023), ACM MM (2017-2023), IFIP Networking (2023)

Reviewer

  • IEEE Transaction on Multimedia
  • IEEE Communications Letters
  • ACM Transactions on Multimedia Computing Communications and Applications
  • IEEE Access
  • IEEE Communications Magazine
  • KSII Transactions on Internet and Information Systems
  • Springer Wireless Personal Communications
  • EURASIP Journal on Wireless Communications and Networking
  • Elsevier Computer Networks
  • Elsevier Journal of Network and Computer Applications
  • IEEE Letters
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Network and Service Management
  • Elsevier Signal Processing (Image Communication)
  • Elsevier Ad Hoc Networks
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE MultiMedia