Fazla Rabbi
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Instructor
Also affiliated: Shahjalal University of Science and Technology (2024); University of Information Technology and Sciences (2024); Bangladesh Agricultural University (2018–2020)
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Fazla Rabbi's research focuses on the application of machine learning and artificial intelligence techniques across various domains. His work includes developing hybrid deep learning frameworks for Parkinson's disease detection using EEG signals, and evaluating machine learning models for intrusion detection in network security. Rabbi has also investigated process improvement in healthcare using process mining algorithms and assessed natural language processing and convolutional neural network models for disaster detection via social media data. His research extends to predicting corrosion levels in the oil and gas industry and exploring interpretable AI for predicting systems thinking skills. Additionally, he has studied the impact of climate change on crop patterns using explainable machine learning and examined the effects of probiotic supplements on fish growth. Rabbi holds a h-index of 4 with 66 citations across 11 publications and collaborates with researchers from Arkansas State University, including Alexandr M. Sokolov, Alok Madamanchi, and Saroj Raut.
Metrics
- h-index: 4
- Publications: 12
- Citations: 70
Positions
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Instructor 2024–presentArkansas State University Engineering Management ORCID
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Graduate Research Assistant 2022–2024Arkansas State University Engineering Management ORCID
Selected Publications
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Interpretable and Explainable AI for Predicting Systems Thinking Skills (2026)
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Unraveling the climate induced drought impacts on crop pattern distribution using explainable machine learning algorithms (2025)
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A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm (2025)
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Performance evaluation of NLP and CNN models for disaster detection using social media data (2024)
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Cardiovascular Risk Prediction Through Stacking Classifier (2024)
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A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry (2024)
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Using process mining algorithms for process improvement in healthcare (2024)
Collaboration Network
Top Collaborators
- Using process mining algorithms for process improvement in healthcare
- A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm
- Performance evaluation of NLP and CNN models for disaster detection using social media data
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry
- Cardiovascular Risk Prediction Through Stacking Classifier
Showing 5 of 7 shared publications
- Using process mining algorithms for process improvement in healthcare
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry
- Cardiovascular Risk Prediction Through Stacking Classifier
- Interpretable and Explainable AI for Predicting Systems Thinking Skills
- Using process mining algorithms for process improvement in healthcare
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry
- Performance evaluation of NLP and CNN models for disaster detection using social media data
- A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm
- Unraveling the climate induced drought impacts on crop pattern distribution using explainable machine learning algorithms
- Unraveling the climate induced drought impacts on crop pattern distribution using explainable machine learning algorithms
- Interpretable and Explainable AI for Predicting Systems Thinking Skills
- Interpretable and Explainable AI for Predicting Systems Thinking Skills
- Interpretable and Explainable AI for Predicting Systems Thinking Skills
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