Md Tamjid Hossain
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Md Tamjid Hossain
College Of Arts And Sciences
Department of Computational, Engineering and Mathematical Sciences
Assistant Professor
Science and Technology Building Room 211J
210-784-2369
mhossain@tamusa.edu
View CV
Biography
Md Tamjid Hossain is a privacy and security expert currently serving as an Assistant Professor (Tenure-track) of Computer Science and Cybersecurity and the director of CiPH3R-Lab (https://ciph3rlab.github.io/) at Texas A&M University-San Antonio (A&M-SA). His research interests include secure and trustworthy cybersecurity and AI/ML applications, adversarial machine learning, federated learning, reinforcement learning, blockchain, and critical infrastructure security. He has authored/co-authored 10+ research papers published in top conferences and journals, including IEEE TAI, IEEE CASE 2025, IEEE/RSJ IROS 2023, ICMLC 2023, ISGT NA 2023, CNS 2021, MSN 2021, CPSCom 2021, and IEMTRONICS 2021. Dr. Hossain has also served as a TPC member and reviewer for 15+ major conferences and journals, such as ICRA 2024, ICRA 2023, IEEE IoT, TII, TDSC, and Sensors. Currently, he is leading and collaborating with faculties/researchers from Purdue University Northwest (PNW), University of Nevada, Reno (UNR), and Texas A&M University-Kingsville (TAMUK) in several research projects and actively applying for potential funding from programs such as NSF SaTC 2.0 (~$600K/4yrs, Texas A&M System’s REF (~$250K), Amazon Research Awards ~80K/1yr), Foresight Institute’s Secure AI grant (~$10K to $300K/1yr)..
In addition to his research accomplishments, Dr. Hossain has mentored 900+ undergraduate and graduate students at UNR and Texas A&M-SA from 2020 to 2025. He is also serving as a faculty mentor to an undergraduate student from Texas State University under NSF’s CAHSI Spring 2026 LREU program. He has experience in serving as a Faculty Search Committee member and Program Curriculum Designer at the Department of CEMS at A&M-SA. His leadership skills, organizational abilities, and collaborative approach to technical problem-solving have been recognized with prestigious awards, including the 2023 GSA Travel Grant and the 2016 Grameenphone Best Employee Award.
Current Research Interest:
- Data Privacy and Security of Critical Infrastructure
- Secure and Trustworthy AI/ML Application
- Neurocognitive Decision-support Mechanism for Autonomous agent (Agentic AI)
- Privacy-preserved Multi-agent Reinforcement Learning (MARL) and Federated Learning (FL)
- Ethical Digital Forensics
Website:
Research Lab: CiPH3R-Lab
Certifications
| Year | Name of the certificate |
|---|---|
| 2024 | Certified Information Systems Security Professionals (CISSP) by ISC2 (Certification Number: 2004136, Issued Date: June 01, 2024, Expiration Date: May 31, 2027) |
Teaching Summary
| Year | Rank | Company/Institute/University |
|---|---|---|
| 2024-Present | Assistant Professor | Texas A&M University-San Antonio |
| 2020-2024 | Graduate Research and Teaching Assistant | University of Nevada, Reno |
Classes Teaching
| Semester | Course Code | Course Name |
|---|---|---|
| Spring-2026 | CSEC-4326 | Security & Operation Practicum |
| Spring-2026 | CETE-4392 | Big Data Analysis & Security |
| Spring-2026 | CSEC-5311 | Big Data Analysis & Security |
| Spring-2026 | CSEC-4323 | Computer Forensics |
| Fall-2025 | CSCI-3366 | Programming Languages |
| Fall-2025 | CSEC-4323 | Computer Forensics |
| Fall-2025 | CSEC-5310 | Advance Topics in Computer Forensics |
| Fall-2025 | CSEC-3321 | Information Security |
| Summer-2025 | CSCI-1436 | Programming Fundamentals I |
| Spring-2025 | CSEC-4323 | Computer Forensics |
| Spring-2025 | CSCE-5311 | Big Data Analysis & Security |
| Spring-2025 | CETE-4392 | Big Data Analysis & Security |
| Fall-2024 | CSCI-3366 | Programming Languages |
| Fall-2024 | CISA-4323 | Computer Forensics |
| Fall-2024 | CSEC-4323 | Computer Forensics |
| Fall-2024 | CSEC-5310 | Advanced Topics in Computer Forensics |
Publications
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- G. Srikar, M. T. Hossain, B. Nguyen, T. Nguyen, T. X. Nghiem and H. M. La, "CRADLE: Cooperative Adaptive Decentralized Learning and Execution for UAV network to monitor Wildfire Front," 2025 IEEE 21st International Conference on Automation Science and Engineering (IEEE CASE), 2025," (Accepted for Publication). Publication Link, GitHub Link
- 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," Notification Date: 01/30/2025. Journal Type: Q1, Journal Impact Factor (IF): 6.4 (Scopus Link), SJR H-index: 31 (Link), Paper 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