WQCES-2026

Short biography: Mohammad Saidur Rahman is an Assistant Professor of Computer Science at the University of Texas at El Paso (UTEP) and directs the Intelligent and Quantum Secure Advanced Cyber Defense Research (IQSeC) Lab. He received his Ph.D. in Computing and Information Sciences and M.S. in Cybersecurity from the Rochester Institute of Technology in 2024 and 2018, respectively. Dr. Rahman studies the intersection of machine learning, cybersecurity, and quantum security. In quantum security, Dr. Rahman has led projects investigating post-quantum cryptography (PQC) migration strategies for resource constrained devices, including empirical evaluation of NIST candidate algorithms such as Kyber, BIKE, and HQC. He has explored quantum key distribution (QKD) for both satellite communication environments and anonymous communication networks such as Tor, highlighting practical integration challenges. His work has also examined the robustness of quantum machine learning models against both classical and quantum-based adversarial attacks. His research contributions have been recognized in premier venues in security and privacy, including IEEE~S\&P, ACM~CCS, PoPETS, and IEEE~TIFS, ACM TOPS, as well as in leading machine learning conferences such as AAAI and CoLLAs, and in quantum communications venues including IEEE~QCNC and IEEE~QCE. He has been recognized as a rising star in AI and ML for security by the IEEE TCCN SIG on Artificial Intelligence and Machine Learning in Security.