Dr. Jianbing Ni

Associate Professor

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Biography

Jianbing Ni is an Associate Professor and Chair of Undergraduate Studies for Computer Engineering at Queen's University. He has demonstrated leadership through key roles at major international conferences, including serving as Symposium Chair for IEEE ICC 2024 and Track Chair for multiple IEEE events. His editorial work includes positions with prestigious journals such as IEEE Transactions on Information Forensics and Security, and he is actively involved with the IEEE Blockchain Canada Chapter. His research interests extend broadly into Cyber Security, focusing on areas such as Mobile Network Security, Trustworthy AI, Machine Learning Security, and Cloud/Edge Computing Security. Ni has contributed to various significant publications in the field, showcasing innovative approaches to enhancing security protocols and efficient systems architecture, with an emphasis on Federated Learning and Blockchain technologies. He teaches courses that cover critical aspects of Cryptography, Network Security, and software requirements, equipping students with the necessary knowledge to address contemporary challenges in computer engineering.

Research Interests

Experience

Associate Professor

2018-01-01 — Present

Queen's University • Kingston, ON

Chair of Undergraduate Studies for Computer Engineering, engaging in teaching and research in the field of Cyber Security.

Courses

AI Cybersecurity Cryptography Network Security Fundamentals of Information Structures Software Requirements

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.