Mohammad Nadim Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Mohammad Nadim's research investigates the application of computational techniques to diverse fields, including natural language processing, cybersecurity, and agriculture. His work in natural language processing focuses on keyword extraction tools, their comparative assessment, and their integration with chatbots and speech-to-text applications. He has explored the development of learning-based detection models for kernel-level rootkits, examining their characteristic features and taxonomy. Additionally, Nadim has contributed to agricultural research by applying deep learning approaches for paddy yield estimation. His recent publications also address sinkhole attack detection in the Internet of Things and classifying Advanced Persistent Threats (APTs) using graph-enhanced network flow representations. Nadim's scholarly contributions are reflected in his h-index of 3 and 12 total publications.
Metrics
- h-index: 4
- Publications: 14
- Citations: 56
Selected Publications
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CAPTure: Classifying APT Stages and Techniques via Graph-Enhanced Network Flow Representations (2025)
Collaboration Network
Top Collaborators
- A Comparative Assessment of Unsupervised Keyword Extraction Tools
- Integration of NLP and Speech-to-text Applications with Chatbots
- Characteristic Features of the Kernel-level Rootkit for Learning-based Detection Model Training
- Kernel-level Rootkit Detection, Prevention and Behavior Profiling: A Taxonomy and Survey
- San Antonio Research Partnership Portal: Evaluating keyword extraction tools to automate matchmaking for community research partnership
Showing 5 of 6 shared publications
- A Comparative Assessment of Unsupervised Keyword Extraction Tools
- San Antonio Research Partnership Portal: Evaluating keyword extraction tools to automate matchmaking for community research partnership
- CommunityInsight AI: A Community-centric Urban Governance Application Driven by AI
- Buenas: Giving Everyone a Seat at the Study Group Table
- A Case Study of 3rd Party Hardware: The Weakest Link in Google’s Trustworthy Artificial Intelligence Implementation
- A literature review on sinkhole attack detection for Internet of Things
- Integration of NLP and Speech-to-text Applications with Chatbots
- Integration of NLP and Speech-to-text Applications with Chatbots
- Integration of NLP and Speech-to-text Applications with Chatbots
- Integration of NLP and Speech-to-text Applications with Chatbots
- Integration of NLP and Speech-to-text Applications with Chatbots
- Characteristic Features of the Kernel-level Rootkit for Learning-based Detection Model Training
- Kernel-level Rootkit Detection, Prevention and Behavior Profiling: A Taxonomy and Survey
- Bangladeshi Paddy Yield Estimation by Deep Learning Approach
- Bangladeshi Paddy Yield Estimation by Deep Learning Approach
- Bangladeshi Paddy Yield Estimation by Deep Learning Approach
- CommunityInsight AI: A Community-centric Urban Governance Application Driven by AI
- Buenas: Giving Everyone a Seat at the Study Group Table
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