IEEE Ottawa Seminar Series on AI and Machine Learning - Sponsored by IEEE Ottawa PHO Chapter, CS Chapter, ComSoc Chapter, TEMS Chapter, and SP Chapter, jointly with Vitesse- Reskilling

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AI-Driven 5G Networks & Beyond - by Hatem Abou-Zeid, Ericsson Canada

 



  Date and Time

  Location

  Contact

  Registration



  • 359 Terry Fox Drive
  • KANATA, Ontario
  • Canada K2K 2E7
  • Room Number: Upstairs Luncheon Area

Staticmap?size=250x200&sensor=false&zoom=14&markers=45.3499361%2c 75
  • Co-sponsored by Vitesse Re-Skilling Canada, IEEE Ottawa PHO Chapter, ComSoc Chapter, CS Chapter, TEMS Chapter, and SP Chapter
  • Starts 05 October 2019 09:30 AM
  • Ends 29 October 2019 11:30 PM
  • All times are America/Montreal
  • No Admission Charge
  • Register


  Speakers

Hatem Abou-Zeid of Ericsson Canada

Topic:

AI-Driven 5G Networks & Beyond

5G Networks are anticipated to transform modern societies by providing an ultra-reliable, high-speed communications infrastructure that will connect billions of devices including vehicles, machines, and sensors. Both the complexity of such networks and the diversity of application requirements will be unprecedented. This mandates novel, autonomous network configuration and operation that can anticipate and react to changes in traffic, topology, and interference conditions to ensure seamless quality of experience and reliability. In this talk I will discuss AI-driven networking use-cases elaborating on the practical challenges of industrial deployments. I will then highlight directions where research is needed to further expedite and facilitate the development of AI-powered networks.

Biography:

Hatem Abou-zeid is a Senior 5G Systems Designer at Ericsson Canada where he drives research and system development for 5G radio access networks. Prior to that he held industrial positions at CISCO Systems and Bell Labs in addition to postdoctoral and research assistant affiliations at Queen’s University, Canada. His research focuses on the application of machine learning in 5G networks with particular emphasis on anticipatory and adaptive algorithms drawing on methods from reinforcement learning, spatio-temporal forecasting, deep learning and stochastic optimization. Dr. Abou-zeid is very passionate about developing strong industry-university collaborations that foster applied, innovative research, and he leads multiple academic partnerships on intelligence and analytics in future networks.

Address:KANATA, Ontario, Canada





Agenda

11:30 - noon Light Lunch and Networking

noon - 13:00 Presentation and Q&A

13:00- 13:30 Post Presentation Networking