Md Tamjid Hossain, CISSP, PhD is an expert privacy and security researcher. His research interest involves secure and trustworthy AI/ML applications, adversarial machine learning, federated learning, reinforcement learning, Blockchain, critical infrastructure security, etc. He has authored/co-authored 10+ papers in top conferences and journals (IROS2023, ICMLC2023, ISGT NA2023, CNS2021, MSN2021, CPSCom2021, IEMTRONICS2021, etc.). He has also served as a reviewer for 15+ major conferences and journals (ICRA2024, ICRA2023, IEEE IoT, TII, TDSC, Sensors, etc.). He was a key member of the Advanced Robotics and Automation (ARA) laboratory at the University of Nevada, Reno, and led 2 grant proposal preparation work for DoD (AFOSR) DEPSCoR ($600K/3yrs) and NSF SaTC ($1.2 Million/4yrs) program. Besides he has mentored 700+ UNR undergraduate students over the academic year 2020 to 2023. As a recognition of his leadership abilities, exemplary organizational skills, and collaborative approach to technical problem-solving, Dr. Hossain received prestigious awards including the 2023 GSA Travel Grant, and 2016 Grameenphone’s Best Employee Awards.

Publications

• M. T. Hossain, H. La, and S. Badsha, " Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning," IEEE Transactions on Artificial Intelligence (IEEE TAI), 2024," (Undergoing major revision). GitHub Link
• M. T. Hossain, H. La, and S. Badsha, "RAMPART: Reinforcing Autonomous Multi-agent Protection through Adversarial Resistance in Transportation," ACM Journal on Autonomous Transportation Systems (ACM JATS), 2023. Paper Link
• M. T. Hossain, H. M. La, and S. Badsha, “BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems,” The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023) (Accepted for publication). Paper Link
• M. T. Hossain, and H. M. La, “Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in multiagent Reinforcement Learning,” The International Conference on Machine Learning and Cybernetics (ICMLC), 2023. Paper Link
• S. Islam, I. Zografopoulos, M. T. Hossain, S. Badsha, C. Konstantinou, “A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid,” IEEE ISGT NA, 2023. Paper Link
• M. T. Hossain, S. Badsha and H. Shen, “Privacy, Security and Utility Analysis of Differentially Private CPES Data,” 9th IEEE Conference on Communications and Network Security (IEEE CNS 2021), 2021. Paper Link
• M. T. Hossain, S. Islam, S. Badsha, and H. Shen, “DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning,” 17th International Conference on Mobility, Sensing and Networking (IEEE MSN 2021), 2021. Paper Link
• A. Bhattacharjee, S. Badsha, M. T. Hossain, C. Konstantinou, and X. Liang, “Vulnerability Characterization and Privacy Quantification for Cyber-Physical Systems,” 2021 IEEE International Conference on Cyber, Physical and Social Computing (IEEE CPSCom-2021), 2021. Paper Link
• M. T. Hossain, S. Badsha, and H. Shen, “PoRCH: A Novel Consensus Mechanism for Blockchain-Enabled Future SCADA Systems in Smart Grids and Industry 4.0,” 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEEE IEMTRONICS), 2020, pp. 1-7, Doi: 10.1109/IEMTRONICS51293.2020.9216438. Paper Link