Scholar
Mir Mehedi A. Pritom
Google Scholar ID: sost3MgAAAAJ
Assistant Professor of Computer Science, Tennessee Technological University
Citations & Impact
Citations
222
H-index
9
i10-index
8
Publications
20
Co-authors
14
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper titled 'Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Application' accepted at the 7th IEEE International Conference on Trust, Privacy, and Security in Intelligent Systems and Applications (IEEE TPS 2025); paper titled 'Characterizing Event-themed Malicious Web Campaigns: A Case Study on War-themed Websites' accepted at the 22nd Annual Conference on Privacy, Security and Trust (PST 2025); research projects include developing privacy-aware LLM integrated chatbots to prevent sensitive data leakage and research in Usable Security and AI-Assisted Cybersecurity domain.
Research Experience
- Worked as a Software Engineer at Samsung Research Institute Bangladesh before starting graduate studies; was an assistant professor at Appalachian State University in Boone, NC, prior to joining TTU; currently leads the ReACT research lab at TTU.
Education
- Received a Ph.D. in Computer Science from the University of Texas-San Antonio (UTSA) in Summer 2022, under the guidance of Dr. Shouhuai Xu and Dr. Ravi Sandhu; earned a Master's of Science degree in Information Technology from UNC Charlotte in 2018; and obtained a Bachelor's of Science degree in Computer Science and Engineering from the University of Dhaka, Bangladesh in 2014.
Background
- An assistant professor of Computer Science at Tennessee Tech University and a faculty affiliate within the Cybersecurity Education, Research, and Outreach Center (CEROC) at Tennessee Tech. Currently leads the 'Resilient AI-enabled Cybersecurity and Trustworthiness' (ReACT) research lab at TTU. Research interests include applying trustworthy and explainable AI in security domains to enhance the trust, transparency, dependability, and usability of existing and future cybersecurity and defense systems, as well as the application of LLM and GenAI in cybersecurity.
Miscellany
- Contact: 931-372-3496; Office: Bruner Hall, Room 236; Email: mpritom[at]tntech.edu; Social links: LinkedIn, Google Scholar
