Md Tamjid Hossain
Unit: Texas A&M University-San Antonio
Title: Assistant Professor
Research Expertise
Dr. Md Tamjid Hossain is a privacy and security expert specializing in adversarial machine learning, federated learning, trustworthy AI, and the security of cyber-physical and critical infrastructure systems. Currently an Assistant Professor of Computer Science and Cybersecurity at Texas A&M University–San Antonio, Dr. Hossain leads research at the intersection of AI/ML trustworthiness and data privacy. His work focuses on secure and privacy-aware AI applications, including the design of resilient multi-agent systems, data sharing frameworks under differential privacy, and robust defense strategies against model poisoning and inference attacks.
Dr. Hossain has authored and co-authored over 10 peer-reviewed publications in leading venues such as IEEE TAI, IROS, CNS, MSN, ICMLC, and ACM Transactions. During his Ph.D. at the University of Nevada, Reno, he led NSF-funded research on privacy-preserving analytics and adversarial dynamics, contributing to projects with agencies such as the DoD. His applied research integrates blockchain, secure communication, and privacy-preserving algorithms to mitigate real-world threats in smart infrastructure and autonomous systems.
He actively mentors undergraduate and graduate students, collaborates across disciplines, and contributes to departmental initiatives in research and curriculum development. Dr. Hossain is a CISSP-certified professional and frequent reviewer for top-tier journals and conferences, with a strong commitment to promoting equity and excellence in computing research and education.
Areas of Expertise/Keywords
Cybersecurity, Artificial Intelligence, Adversarial Machine Learning, Critical Infrastructure Security
