Dr. Raouf Boutaba

Professor

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Biography

Raouf Boutaba is a distinguished professor at the University of Waterloo, where he serves as the Director of the Cheriton School of Computer Science. His contributions to the field are recognized internationally, and he has received numerous accolades, including prestigious fellowships from the Royal Society of Canada, the Institute of Electrical and Electronics Engineers, and the Canadian Academy of Engineering. Dr. Boutaba's research interests primarily focus on network and service management, resource management in wired and wireless networks, and the development of next-generation network technologies. He has made significant contributions to areas such as network function virtualization, software-defined networks, and cloud computing. His work often emphasizes the application of machine learning to enhance network efficiencies and security. Dr. Boutaba is actively involved in academic and professional communities, frequently delivering keynotes at international conferences and participating in expert panels discussing the future of networking technologies. His leadership extends to mentoring students and leading research teams that explore innovative solutions for emerging challenges in telecommunications and computer science.

Research Interests

Experience

Director

2020-07-01 — Present

David R. Cheriton School of Computer Science, University of Waterloo • Waterloo, Ontario, Canada

Leading the Cheriton School of Computer Science and overseeing research and academic activities.

Awards

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ComSoc CNOM Paper Award

2025-11-01
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AI-Driven 5G Network Slice Operations Management Project

2020-09-01

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.