Match tier
Likely match
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-08
M
Md Tariquzzaman
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
Unknown Researcher
4 pubs
Research Areas
Biography and Research Information
OverviewAI-generated summary
Md Tariquzzaman's research focuses on the application of artificial intelligence (AI) across various sectors. His work includes developing AI-powered predictive models for early detection of business failures and creating AI-enabled systems for fraud detection and risk management within the U.S. financial sector. He has also investigated leveraging AI and behavioral analytics to enhance financial decision-making processes. Additionally, Tariquzzaman has explored the use of explainable AI for predicting patient readmission in hospitals. His scholarship includes four publications, with his most recent work published in 2026.
Metrics
- Publications: 4
Selected Publications
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Explainable AI for Predicting Patient Readmission in Hospitals (2026)
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AI-Powered Predictive Models for Early Detection of Business Failures in the U.S. (2025)
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AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector (2025)
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Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S (2025)
Collaboration Network
Top Collaborators
Sayer Bin Shafi
Midwestern State University (US)
4 shared publications
- Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S
- AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
- AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
- Explainable AI for Predicting Patient Readmission in Hospitals
Istiaque Mahmud
Midwestern State University (US)
3 shared publications
- Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S
- AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
- AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
D. R. Rahul
Midwestern State University (US)
3 shared publications
- Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S
- AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
- AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
Hasan Aqif
Midwestern State University (US)
3 shared publications
- Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S
- AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
- AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
Samia Akter
Midwestern State University (US)
3 shared publications
- Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S
- AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
- AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
Faisal Yousuf Osman
Midwestern State University (US)
3 shared publications
- Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S
- AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
- AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
Hasan Mahmud Sozib
Ahsanullah University of Science and Technology (BD)
2 shared publications
- AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
- Explainable AI for Predicting Patient Readmission in Hospitals
Ahmad Jamal
College of New Rochelle (US)
1 shared publication
- Explainable AI for Predicting Patient Readmission in Hospitals
Mahzabin Mahmud
Directorate General of Health Services (BD)
1 shared publication
- Explainable AI for Predicting Patient Readmission in Hospitals
Fatima Tauseef
University of Management and Technology (US)
1 shared publication
- Explainable AI for Predicting Patient Readmission in Hospitals
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