Hatem Abou-Zeid

Dr. Hatem Abou-Zeid



Assistant Professor

Schulich School of Engineering, Department of Electrical and Software Engineering

Adjunct Assistant Professor

School of Computing, Queen's University, Canada

Adjunct Assistant Research Professor

Department of Computer Science, Carleton University, Canada

Contact information

Phone number

Office: 403.220.7151


Office: ICT252

For media enquiries, contact

Joe McFarland
Media Relations and Communications Specialist

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


Educational Background

PhD Electrical and Computer Engineering, Queens University,


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, artificial intelligence (AI), and beyond 5G applications. Within these areas, I currently focus on accelerated learning and safe AI, reliable low-latency communications, extended reality and digital twins, brain-computer interfaces, and Industrial IoT.

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. 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 19 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, 4G/5G 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
  • Semantic Communications
  • Low Latency Communications & Edge Networking
  • Joint Sensing and Communications
  • Space and Non-Terrestrial Networking
Safe & Robust Artificial Intelligence
  • Application of AI in networks, extended reality, and brain computer interfaces with a focus on:
    • Efficient and Interpretable AI
    • Safe Reinforcement Learning Algorithms
    • Transfer-learning, Online Learning, Meta-learning
    • Distributed and Federated Learning
Immersive & Multi-Sensory Communications
  • Application areas: Extended Reality, Digital Twins & Brain Computer Interfaces
  • Cross-stack Network Innovations and Efficient Algorithms
  • Testbed Prototyping & Evaluation 


Course number Course title Semester
ENDG 511 Industrial Internet of Things Systems and Data Analytics Winter 2023
ENEL 680 Applied Optimization for Sustainable Design Fall 2022
ENEL 594 Accelerated Low-Latency Machine Learning for Wireless Communication Functions Winter 2023


Extended Reality (XR) Applications over 5G Networks

Investigating novel methods for reliable extended reality (XR) experiences and digital twins over wireless networks. This project is in collaboration with Telus Canada and RedIronLabs.

Robust Intelligence for Beyond-5G Networks and Applications

Researching tiny deep learning in networks, semantic communications, safe reinforcement learning, and joint sensing and communication.

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.


  • Early Research Excellence Award, Schulich School of Engineering, UCalgary. 2023
  • Software Engineering Professor of the Year Award, Engineering Student Society Annual Awards Night, UCalgary. 2023


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.