Mohammad Nadim
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Researcher
Also affiliated: The University of Texas at San Antonio (2020–2022); Texas A&M University – Central Texas (2023–2025)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Mohammad Nadim's research focuses on the application of machine learning and natural language processing techniques to address various challenges. He has investigated keyword extraction tools for automating matchmaking in community research partnerships, as demonstrated by work on the San Antonio Research Partnership Portal. His publications also explore the detection and prevention of kernel-level rootkits, examining learning-based detection models and taxonomy surveys. Additionally, Nadim has explored the use of deep learning for agricultural applications, such as estimating Bangladeshi paddy yield. He has collaborated with Qinghua Li at the University of Arkansas at Fayetteville on shared publications. Nadim's scholarly contributions are reflected in his h-index of 4, with 14 total publications and 58 citations.
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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