Mr. Ghazi Abbas | Financial Engineering | Research Excellence Award
Dalian Uiversity of Technology | China
Ghazi Abbas is a researcher specializing in machine learning applications in finance and economics, with a particular focus on predicting default risk and financial risk management. His work explores interpretable hybrid stacking models for multi-class loan default prediction, contributing to data-driven decision-making in financial systems. His research is recognized in international journals, accumulating citations across Google Scholar and Scopus, reflecting measurable scholarly impact, with a current h-index of 1 and total citations of 8. Ghazi’s contributions highlight the integration of advanced computational techniques into economic modeling, demonstrating strong potential for innovation in financial risk prediction and management.
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Featured Publications
Consensus-Driven Feature Selection for Transparent and Robust Loan Default Prediction
– Scientific Reports, 2025
Exit Without Choice: Interpretable Machine Learning Unlocks the Structural Drivers of Smallholder Dispossession in Pakistan
– Agricultural and Food Economics, 2026