Dr. Hatem Abou-Zeid, PhD

Hatem Abou-Zeid

Assistant Professor

Schulich School of Engineering, Department of Electrical and Software Engineering

Media contacts

Joe McFarland
Media Relations and Communications Specialist

Cell: +1.403.671.2710
Email: Joe.Mcfarland@ucalgary.ca

Phone number

Office: 403.220.7151


Office: ICT252


Educational Background

PhD Electrical and Computer Engineering, Queens University, 2014


I am an Assistant Professor in the Department of Electrical and Software Engineering at the University of Calgary. My research expertise is in communication networks with a focus on developing intelligent methods to design and optimize future networks and enable low latency and immersive communication experiences. 

I worked in industry for 7 years at Ericsson and Cisco before joining the University of Calgary. My industry roles encompassed both the research of novel communication methods and the development of production grade software implementations of networking solutions - and I was fortunate to see many of these techniques deployed in service provider networks worldwide. I also led long-term R&D projects that resulted in 15 patent filings and guidance to the product teams for future networking innovations. Some of these are intelligent scheduling for virtual reality, reinforcement learning algorithms for interference mitigation, spectrum sharing management, RF power control, and link adaptation. 

I am an avid supporter of industry-university partnerships and applied research. While at Ericsson, I served on the Ericsson Government Industry Relations and Talent Development Committees where I led and contributed in creating collaborative research projects involving over 25 students and valued at more than $3.5 Million. For more information about my research and interests, please visit my Projects page and Google Scholar pages.


Areas of Research

5G/6G Communications and Networking
  • 6G Architectures, Protocols, and Techniques that enable AI, Cross-layer & Semantics-based Communication
  • Joint Sensing & Communications using 6G
  • Radio Resource Management (RRM) for Low Latency Communications
  • UAV, Non-Terrestrial Communications
Immersive & Multi-Sensory Communications
  • Traffic Modeling and Characterization of 6G Applications
  • Predictive RRM & Cross-Layer Designs
  • Testbed Prototyping & Development of Multi-Sensory Communications
Robust Intelligence for Future Networks
  • Interpretable, Scalable AI for Networks
  • Robust Reinforcement Learning Algorithms
  • Multi-Agent and Federated Learning
  • Low-Overhead Online Learning, Meta-learning

Participation in university strategic initiatives


Course number Course title Semester
ENSF 511 Industrial Internet of Things Systems and Data Analytics Winter 2022


Robust Intelligence for Beyond-5G Networks and Applications

The research objectives of this project are to:

  1. design robust artificial intelligence techniques for future networks that enable reliable 6G services without compromising operational safety.
  2. model and explore traffic & user QoE of 6G services such as extended reality, critical IoT, multi-sensory communications.
  3. invent novel 6G architectures and protocols using methods from predictive communications, cross-layer and joint user-network-aware designs, joint sensing and communication, semantics etc.

Navigation and Control of Drones over 5G Networks: Enhanced Communication, Adaptive Control and Drone Swarm Collision Avoidance

Topics of research include design of low-latency aerial communication techniques, interference mitigation, drone positioning algorithms, and latency-aware drone control.

5G-Assisted Autonomous Vehicles

Topics of research include anticipatory scheduling for autonomous vehicles, microscopic vehicle mobility and maneuver prediction.

Cognitive Machine Type Communications for Massive IoT Applications

Topics of research include adaptive configured grant scheduling for factory automation, joint communication and path planning of UAVs.

Machine Intelligence and Big Data Analytics for 5G Networks and Beyond

Topics of research include network traffic prediction using real network data, hybrid deep learning architectures for spatiotemporal mobility modeling, anticipatory network slicing using reinforcement learning, predictive mobility-aware hand-overs.


More Information

If you are interested in working with me, please send me an email with the subject "Research Supervision" and the following information:

  1. A short statement indicating which of my research areas/projects you are interested in.
  2. Your most relevant experiences in either wireless networks, machine learning or VR/AR/Drones/IoT/prototyping.
  3. Your CV.  
  4. Whether you have/plan to apply for funding.