Md Tariquzzaman
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Also affiliated: Oregon State University (2026); Jashore University of Science and Technology (2025)
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Md Tariquzzaman's research focuses on the application of artificial intelligence (AI) and machine learning to address challenges across various sectors. His recent work includes developing AI-powered predictive models for early detection of business failures and enhancing fraud detection and risk management systems within the U.S. financial sector. He also investigates AI's role in improving financial decision-making through behavioral analytics and exploring explainable AI for predicting patient readmission in hospitals. Additionally, Tariquzzaman has explored methods for enhancing the lifetime of electric semi-truck drive inverters through adaptive switching techniques. His scholarship metrics include an h-index of 1, with 5 total publications and 2 total citations.
Metrics
- h-index: 2
- Publications: 8
- Citations: 23
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
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
- Explainable AI for Predicting Patient Readmission in Hospitals
- Explainable AI for Predicting Patient Readmission in Hospitals
- Explainable AI for Predicting Patient Readmission in Hospitals
- Explainable AI for Predicting Patient Readmission in Hospitals
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