Fazla Rabbi
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Shahjalal University of Science and Technology (2024); University of Information Technology and Sciences (2024); Bangladesh Agricultural University (2018–2020)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Fazla Rabbi's research centers on the application of machine learning and deep learning techniques to diverse fields, including healthcare, environmental science, and cybersecurity. His work in healthcare involves developing frameworks for disease detection and risk prediction, such as Parkinson's disease from EEG signals using hybrid deep learning and cardiovascular risk prediction via stacking classifiers. He also investigates the use of NLP and CNN models for disaster detection from social media data and explores machine learning for predicting corrosion levels in the oil and gas industry. Rabbi's recent publications also address the impacts of climate change on crop distribution using explainable AI and genre classification for Bangla music lyrics. He has a h-index of 3 with 35 citations across 10 publications. Collaborators include Alexandr M. Sokolov, Alok Madamanchi, and Saroj Raut, all from Arkansas State University.
Metrics
- h-index: 3
- Publications: 10
- Citations: 50
Selected Publications
-
Interpretable and Explainable AI for Predicting Systems Thinking Skills (2026)
-
Unraveling the climate induced drought impacts on crop pattern distribution using explainable machine learning algorithms (2025)
-
A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm (2025)
-
Performance evaluation of NLP and CNN models for disaster detection using social media data (2024)
-
Cardiovascular Risk Prediction Through Stacking Classifier (2024)
-
A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry (2024)
-
Using process mining algorithms for process improvement in healthcare (2024)
Collaboration Network
Top Collaborators
- A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm
- Using process mining algorithms for process improvement in healthcare
- 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 6 shared publications
- Using process mining algorithms for process improvement in healthcare
- A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry
- 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
- 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
Similar Researchers
Based on overlapping research topics