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Conference Papers (IEEE ICECET 2025 – Paris, France)
Conference Papers (IEEE ICECET 2025 – Paris, France)
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.
Develops a hybrid LSTM-XGBoost model to predict financial distress and business failures, improving early warning systems for regulators and investors.
Develops a hybrid LSTM-XGBoost model to predict financial distress and business failures, improving early warning systems for regulators and investors.
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
Accepted for oral presentation and publication in IEEE Xplore Digital Library.
Accepted for oral presentation and publication in IEEE Xplore Digital Library.
🔗 [View Paper Abstract]
🔗 [View Paper Abstract]
AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
AI-Enabled Fraud Detection and Risk Management Systems for the U.S. Financial Sector
Proposes a novel AI-driven framework integrating machine learning and financial analytics to detect and mitigate fraudulent activities in the U.S. financial ecosystem.
Proposes a novel AI-driven framework integrating machine learning and financial analytics to detect and mitigate fraudulent activities in the U.S. financial ecosystem.
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
Accepted for oral presentation and publication in IEEE Xplore Digital Library.
Accepted for oral presentation and publication in IEEE Xplore Digital Library.
🔗 [View Paper Abstract]
🔗 [View Paper Abstract]
Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S.
Leveraging AI and Behavioral Analytics to Improve Financial Decision-Making in the U.S.
Introduces behavioral analytics models that combine financial data with AI algorithms to optimize consumer decision-making and improve risk prediction accuracy.
Introduces behavioral analytics models that combine financial data with AI algorithms to optimize consumer decision-making and improve risk prediction accuracy.
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
IEEE 5th International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025)
Accepted for oral presentation and publication in IEEE Xplore Digital Library.
Accepted for oral presentation and publication in IEEE Xplore Digital Library.
🔗 [View Paper Abstract]
🔗 [View Paper Abstract]
All three papers were presented at IEEE ICECET 2025 (Paris, France), contributing to global research on AI-enabled financial systems and predictive analytics.
All three papers were presented at IEEE ICECET 2025 (Paris, France), contributing to global research on AI-enabled financial systems and predictive analytics.
Published Papers (Scopus-Indexed)
Published Papers (Scopus-Indexed)
Big Data Analytics in Banking: Unlocking Insights for Strategic Decisions
Big Data Analytics in Banking: Unlocking Insights for Strategic Decisions
Explores how big data enhances fraud management, B2B analysis, feedback systems, and decision-making efficiency in the banking sector.
Explores how big data enhances fraud management, B2B analysis, feedback systems, and decision-making efficiency in the banking sector.
Artificial Intelligence in Banking: Transforming Bank Management and Customer Experience
Artificial Intelligence in Banking: Transforming Bank Management and Customer Experience
Analyzes how AI technologies reshape operational efficiency, customer service, and risk management in the modern banking sector.
Analyzes how AI technologies reshape operational efficiency, customer service, and risk management in the modern banking sector.
The Role of Data Visualization in Business Intelligence
The Role of Data Visualization in Business Intelligence
Examines how interactive dashboards and visual analytics improve decision-making and performance tracking across business functions.
Examines how interactive dashboards and visual analytics improve decision-making and performance tracking across business functions.
Additional Peer-Reviewed Publications (International Journals)
Additional Peer-Reviewed Publications (International Journals)
Quantifying the Impact of Network Science and Social Network Analysis in Business Contexts: A Meta-Analysis of Applications in Consumer Behavior and Connectivity
Quantifying the Impact of Network Science and Social Network Analysis in Business Contexts: A Meta-Analysis of Applications in Consumer Behavior and Connectivity
This paper conducts a meta-analysis of social network analysis applications in business, examining how connectivity and consumer behavior insights enhance strategic decision-making.
This paper conducts a meta-analysis of social network analysis applications in business, examining how connectivity and consumer behavior insights enhance strategic decision-making.
A Cross-Sector Quantitative Study on the Applications of Social Media Analytics in Enhancing Organizational Performance
A Cross-Sector Quantitative Study on the Applications of Social Media Analytics in Enhancing Organizational Performance
Investigates how social media analytics supports performance improvement across industries by enabling data-driven marketing, engagement, and customer satisfaction.
Investigates how social media analytics supports performance improvement across industries by enabling data-driven marketing, engagement, and customer satisfaction.
Research in Progress & Upcoming Publications
1️⃣ Regression-Based Machine Learning Framework for Accurate Financial Risk Prediction
Developing a regression-based hybrid ML framework that improves the accuracy of financial risk prediction for small and mid-sized U.S. enterprises. The model integrates historical FDIC, BLS, and FRED datasets with macroeconomic indicators to help identify early warning signals of financial distress.
Tools: Python (Scikit-learn, XGBoost), Power BI, SQL
2️⃣ Comparative Analysis of Transformer and LSTM Architectures for Cybersecurity Threat Detection
Conducting a comparative study of transformer-based deep learning and LSTM models for detecting complex cybersecurity threats and financial data breaches. This research emphasizes explainability (XAI) and the interpretability of AI systems in high-risk sectors.
Tools: TensorFlow, PyTorch, Explainable AI (SHAP), Python
3️⃣ AI-Driven Complaint Analytics Using CFPB Consumer Database (2020–2024)
Applying Natural Language Processing (NLP) and sentiment analysis to identify fraud-related complaint trends from the Consumer Financial Protection Bureau (CFPB) data. The dashboard aims to help regulators and banks strengthen consumer protection frameworks and detect emerging financial risks.
Tools: Power BI, Python (NLTK, TextBlob), SQL
4️⃣ Enhancing Financial Decision-Making Through Behavioral Data Integration
This ongoing study extends the Leveraging AI and Behavioral Analytics research presented at IEEE ICECET 2025. It explores how AI models can incorporate behavioral finance variables to forecast consumer credit behavior and reduce bias in decision-making algorithms.
Tools: Python, Pandas, Behavioral Data APIs
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