Dr. Hatem Abou-Zeid, PhD

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.

Research

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

Human dynamics in a changing world

Courses

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

Projects

Robust Intelligence for Beyond-5G Networks and Applications

The research objectives of this project are to:

design robust artificial intelligence techniques for future networks that enable reliable 6G services without compromising operational safety.
model and explore traffic & user QoE of 6G services such as extended reality, critical IoT, multi-sensory communications.
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.

Publications

Virtual Reality Gaming on the Cloud: A Reality Check. Sihao Zhao, Hatem Abou-zeid, Ramy Atawia, Yoga Suhas Kuruba Manjunath, Akram Bin Sediq, Xiao-Ping Zhang. IEEE GLOBECOM 2021. (2021)
Transfer Learning-Based Accelerated Deep Reinforcement Learning for 5G RAN Slicing. Ahmad M Nagib, Hatem Abou-Zeid, Hossam S Hassanein. IEEE LCN 2021. (2021)
Intelligent Radio Access Network Slicing for Service Provisioning in 6G: A Hierarchical Deep Reinforcement Learning Approach. Jie Mei, Xianbin Wang, Kan Zheng, Gary Boudreau, Akram Bin Sediq, Hatem Abou-Zeid. IEEE Transactions on Communications. (2021)
Carrier Aggregation With Optimized UE Power Consumption in 5G. Roghayeh Joda, Medhat Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci. IEEE Networking Letters. (2021)
Deep Learning-Based Forecasting of Cellular Network Utilization at Millisecond Resolutions. Ahmad M Nagib, Hatem Abou-Zeid, Hossam S Hassanein, Akram Bin Sediq, Gary Boudreau. IEEE ICC, 2021. (2021)

Google Scholar

More Information

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

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