hatem [dot] abouzeid [at] ucalgary.ca

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 multi-sensory communications.

I held industrial positions at Ericsson Canada and Cisco Systems before joining the University of Calgary. My R&D experience spanned the design and invention of algorithms for 5G radio access networks and core-network traffic engineering - and I was fortunate to see several of these techniques being deployed in 5G networks worldwide. I also led longer term R&D projects that resulted in patent filings and guidance to the product teams for future networking solutions. Some of these are intelligent resource management for virtual reality, reinforcement learning algorithms for interference mitigation, and spectrum sharing management. 

I received my PhD from Queen's University in 2014 where I proposed the notion of mobility-aware predictive resource allocation and demonstrated its application to adaptive video streaming and energy efficiency. My industrial and academic research led to 15 patent filings and more than 45 journal and conference publications. I collaborate with a team of exceptional researchers and colleagues on various projects and hold Adjunct Professor appointments at Queen’s University, Carleton University, and Ontario Tech University in Canada. Please see my Projects page and Google Scholar for more details.


  • 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 31 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!