Dr. Hatem Abou Zeid

Associate Professor

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Biography

Hatem Abou-Zeid is an Associate Professor and Schulich Industry Chair in the Department of Electrical and Software Engineering at the University of Calgary. His research expertise lies in communication networks and artificial intelligence (AI), with a focus on 5G applications and foundational models for trustworthy AI in 6G. His work addresses various areas, including wireless sensing, low-latency networking, and AI-powered brain-computer interfaces. Hatem has over seven years of industry experience, having worked with Ericsson and Cisco, where he contributed to the development of novel communication methods and production-grade software solutions. His long-term R&D initiatives have led to 20 patent filings, enhancing the future of networking innovations. Hatem is a strong advocate for industry-university partnerships and has played key roles in collaborative projects featuring significant student participation and funding. His recent research includes areas like reliable XR experiences over wireless networks, anticipatory scheduling for autonomous vehicles, and big data analytics in network traffic prediction. His work not only focuses on theoretical advancements but also on practical applications that have been deployed in service provider networks globally.

Research Interests

Experience

Associate Professor

— Present

University of Calgary • Calgary, AB, Canada

Associate Professor in the Department of Electrical and Software Engineering and Schulich Industry Chair, focusing on AI and communication networks.

Adjunct Associate Professor

— Present

Queen's University • Kingston, ON, Canada

Adjunct associate professor working with the Department of Computer Science.

Awards

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Graduate Supervision Excellence Award

#

ESE Research Excellence Award

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Software Engineering Professor of the Year Award

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Outstanding Academic Achievement Award

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Early Research Excellence Award

#

AI/ML ASTech Award Finalist

Courses

Industrial Internet of Things Systems Advanced Networking Paradigms Emerging Applications Accelerated Low-Latency Machine Learning Wireless Communication Functions Machine Learning Systems

Requirements for University of Calgary

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:97
GRE General
Verbal
Required:150
Quantitative
Required:159
Analytical Writing
Required:5.5
Overall
Required:5.5
Prerequisites
4-year Bachelor's degree in Computer Science or equivalent 3rd or 4th year course in Theory of Computation 3rd or 4th year course in Software Engineering 3rd or 4th year course in Systems (OS, Compilers, Networking) 3rd or 4th year course in Application (AI, Graphics, Databases)
Application Checklist
  • Unofficial Transcripts
  • Curriculum Vitae
  • Statement of Purpose
  • Two Letters of Reference
Specialization Notes

Department of Computer Science Master's program. GRE scores are expected for international students.