Mohammad Nadim
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Also affiliated: The University of Texas at San Antonio (2020–2022); Texas A&M University – Central Texas (2023–2025)
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Biography and Research Information
OverviewAI-generated summary
Mohammad Nadim's research focuses on cybersecurity, particularly the detection and prevention of kernel-level rootkits. His work investigates characteristic features of rootkits to train learning-based detection models, with applications in protecting against namespace attacks on containers. Nadim has also explored the integration of Natural Language Processing (NLP) and speech-to-text applications with chatbots, and has contributed to the comparative assessment of unsupervised keyword extraction tools. His recent publications include work on classifying Advanced Persistent Threat (APT) stages and techniques, and the development of an AI-driven application for community-centric urban governance.
Metrics
- h-index: 4
- Publications: 14
- Citations: 58
Selected Publications
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CAPTure: Classifying APT Stages and Techniques via Graph-Enhanced Network Flow Representations (2025)
Collaboration Network
Top Collaborators
- CAPTure: Classifying APT Stages and Techniques via Graph-Enhanced Network Flow Representations
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