Mohammad Nadim Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

3 h-index 12 pubs 41 cited

Research Areas

Advanced Malware Detection Techniques Natural Language Processing Techniques Deep Learning Applications Network Security and Intrusion Detection Agronomic Practices and Intercropping Systems Topic Modeling

Links

ORCID

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OverviewAI-generated summary

Mohammad Nadim's research focuses on the application of advanced computational techniques to address complex problems. His recent work includes the development of learning-based detection models for kernel-level rootkits, investigating their characteristics for prevention and behavior profiling. He has also explored the integration of Natural Language Processing (NLP) and speech-to-text applications with chatbots, aiming to enhance user interaction and information retrieval. Furthermore, Nadim has investigated the use of deep learning for agricultural applications, such as estimating Bangladeshi paddy yields. His research also extends to evaluating keyword extraction tools for automating matchmaking in research partnerships and reviewing methods for detecting sinkhole attacks in the Internet of Things. Nadim's scholarly contributions are reflected in his h-index of 3 and 12 total publications.

Metrics

  • h-index: 3
  • Publications: 12
  • Citations: 41

Selected Publications

  • CAPTure: Classifying APT Stages and Techniques via Graph-Enhanced Network Flow Representations (2025) DOI

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