Scholar

Saed Alrabaee

Google Scholar ID: -NxLSnwAAAAJ

Associate Professor, Information Systems and Security, UAEU

Digital ForensicsMalware AnalysisBinary Code AnalysisCyber ForensicsCybersecurity Education

Citations & Impact

All-time

Citations

1,718

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

1 items

2025

Cited

Resume (English only)

Academic Achievements

[07/2025] Paper on student-centered metaverse classroom adoption in low-income contexts accepted by Cogent Education
[07/2025] Paper on Tor obfuscated traffic detection using Bidirectional GAN accepted by Computer Networks Journal
[06/2025] Survey paper on federated learning in healthcare analytics accepted by Computational and Structural Biotechnology Journal
[06/2025] Received College Excellence in Scholarship Award
[05/2025] Received University Merit Allowance Award
[04/2025] Paper on ethical dilemmas in AI-driven educational technologies accepted by IEEE EDUCON 2025
[03/2025] Paper on enhanced federated feature selection accepted by IEEE Journal on Selected Areas in Communications
Keynote Speaker at ICSPIS 2024 (7th International Conference on Signal Processing & Information Security)
Invited talk at Technology Innovation Institute: 'Binary Code Fingerprinting for Cybersecurity: Application to Malicious Code Fingerprinting'
Panelist at multiple international conferences on AI in education and teaching innovation

Background

Associate Professor, Department of Information Systems and Security, UAE University
Director of the Center for Excellence in Teaching and Learning, UAE University
Permanent Research Scientist, Security Research Center, Concordia Institute for Information Systems Engineering, Concordia University
Former Assistant Professor, Department of Electrical and Computer Engineering and Department of Computer Science, University of New Haven, USA
Research focuses on Computer Security, particularly program analysis and trusted computing (especially Trusted Execution Environments)
Applications include: vulnerability discovery in IoT firmware/software, malware reverse engineering and binary code analysis, and cybersecurity for education

Co-authors

41 total