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Hatem Abou-Zeid

Assistant Professor

Electrical and Software Engineering 

Schulich School of Engineering 

University of Calgary 

Contact:

hatem [dot] abouzeid [at] ucalgary.ca

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I'm an Assistant Professor in the Department of Electrical and Software Engineering at the University of Calgary. My research is in communication networks with a focus on AI-powered network design and immersive low-latency communications.

Industry Experience

I worked at Ericsson Canada and Cisco Systems for 7 years before joining the University of Calgary.  My R&D experience spanned the research and design of 5G radio access and core-network traffic engineering techniques. Some of the specific areas I investigated include: intelligent resource management for virtual reality, reinforcement learning algorithms for interference mitigation, spectrum sharing management, power control, and link adaptation. My work on the various projects also led to 15 patent applications that include innovations for future low latency applications and intelligent techniques for robust network coverage, control channels, dynamic UE reconfiguration, virtual RANs, and edge networking.

My industry roles encompassed both the research and design of solutions, and the development of production grade software implementations of networking solutions - and I was fortunate to see several of these techniques deployed in service provider networks worldwide.

Graduate Studies

I received my PhD from Queen's University in 2014 where I proposed the notion of predictive resource allocation and demonstrated its application to adaptive video streaming and energy efficiency. My research ideas and results were featured in two articles of the IEEE Wireless Communications magazine (IF: 11.979), IEEE Transactions Journals, and several Flagship IEEE communications conferences. During my PhD, I was honoured to receive the DAAD RISE Fellowship for an internship at Bell Labs, Germany and one of my thesis projects was conducted in close collaboration with the company.

Publications & Collaborations

Throughout my career, I have been fortunate to collaborate and work with exceptional scholars and students with whom I have co-authored 45+ peer-reviewed publications in top venues such as IEEE Journal on Selected Areas in Communications (IF: 9.1), IEEE Transactions on Wireless Communications, IEEE INFOCOM, IEEE ICC, and IEEE GLOBECOM. I have had the pleasure of mentoring over 25 students many of which now have work at reputable companies, have moved onto graduate programs, and earned outstanding awards such as the Queen’s Governor General’s Academic Gold Medal. I also hold Adjunct Professor appointments at Queen’s University and Ontario Tech University in Canada through which I collaborate on joint projects.

Please see my Projects page and Google Scholar for more details.

News

  • PDF Opportunity: The UCalgary Eyes High Postdoctoral Match-Funding Program is accepting applications, deadline Nov 5th. This is a competitive program. Please contact me if you are an interested in a PDF position at my research group.
     

  • I am serving on the TPCs of the Next-Generation Networking and Internet Symposium and the IoT and Sensor Networks Symposium at IEEE ICC 2022. Submission deadlines are 11 October 2021.
     

  • Our paper “Virtual Reality Gaming on the Cloud: A Reality Check,” has been accepted for publication IEEE Global Communications Conference  (GLOBECOM), 2021.
     

  • Our paper “Reinforcement Learning Based Energy-Efficient Component Carrier Activation-Deactivation in 5G,” has been accefor publication IEEE Global Communications Conference.  (GLOBECOM), 2021.
     

  • Our paper “To DSRC or 5G? A Safety Analysis for Connected and Autonomous Vehicles,” has been accepted for publication IEEE Global Communications Conference  (GLOBECOM), 2021.  
     

  • I am co-chairing the Wireless Network Innovations for Mobile Edge Learning workshop at IEEE ICC 2021. The program includes an exciting industrial panel on June 18th, 9 am EDT. 
     

  • Our paper “Transfer Learning-Based Accelerated Deep Reinforcement Learning for 5G RAN Slicing,” has been accepted for publication IEEE Local Computer Networks (LCN), 2021.
     

  • Ericsson is hiring a Machine Learning Intern to work on novel algorithms for 5G network and radio resource management. Please let me know if you are interested/know a good candidate!