Madjid Tehrani, D.Eng.
Dr. Madjid Tehrani is an Adjunct Professor at The George Washington University School of Engineering and Applied Science, specializing in Quantum Cybersecurity Analytics, Cloud Security, and Generative AI applied to Cybersecurity. With over two decades of experience in designing and managing secure, large-scale information systems, Dr. Tehrani is an expert in applied cryptography, SecOps, and resilience-driven cybersecurity risk management.
He has worked as a cloud security architect on a major global blockchain project within the port and shipping industry. In addition, he is the founder and managing director of CyberSeQ, an innovative startup pioneering advancements in Quantum Machine Learning, Post-Quantum Cryptography (PQC), GenAI and Cybersecurity.
Dr. Tehrani holds a Doctor of Engineering in Systems Cybersecurity Analytics from The George Washington University and a Master’s in Advanced Computer Science from the University of Leicester.
Research Interests
Dr. Tehrani’s research centers on Quantum Cybersecurity Analytics, Post-Quantum Cryptography, and the integration of Generative AI in Security Operations.
Tehrani, M.G., Sultanow, E., Buchanan, W.J., et al. "Stabilized quantum-enhanced SIEM architecture and speed-up through Hoeffding tree algorithms enable quantum cybersecurity analytics in botnet detection." Sci Rep 14, 1732 (2024). https://doi.org/10.1038/s41598-024-51941-8
Yigit, Y., Buchanan, W.J., Tehrani, M.G., and Maglaras, L., "Review of generative AI methods in cybersecurity." arXiv preprint arXiv:2403.08701 (2024).