Research & Publications
Enhancing financial risk intelligence and fraud detection through AI research, data analytics, and predictive modeling
AI-Powered Predictive Models for Early Detection of Business Failures in the U.S.
A hybrid AI model combining LSTM and XGBoost demonstrates highly accurate early prediction of business failure, supporting proactive financial risk management.
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
Accepted for oral presentation and published in IEEE Xplore Digital Library.
AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
Introduces an AI-driven framework combining machine learning and financial analytics to enhance fraud detection and risk management.
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
Accepted for oral presentation and published in IEEE Xplore Digital Library.
Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S
Proposes an AI-driven framework integrating behavioral analytics and machine learning to improve financial decision-making among U.S. SMEs.
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
Accepted for oral presentation and published in IEEE Xplore Digital Library.
Published Papers (Scopus-Indexed)
Big Data Analytics in Banking: Unlocking Insights for Strategic Decisions
Well Testing Journal (2025)
The Role of Data Visualization in Business Intelligence: Analyzing Tool Adoption and Decision-Making outcomes in US Companies
Cuestiones De Fisioterapia(2023)
Cuestiones De Fisioterapia(2023)
Additional Peer-Reviewed Publications (International Journals)
