M Surekha
Papers
1
Total Citations
7
H-Index
1
About
M Surekha is a researcher whose work centers on the intersection of artificial intelligence and financial systems, with a particular focus on how AI can be leveraged for financial intelligence and decision-making. Her most-cited paper, "Artificial Intelligence Based Research For Financial Intelligence" (2022), has garnered 7 citations, reflecting growing interest in the application of machine learning and computational methods to financial data analysis and fraud detection. While this work has been retracted, it nonetheless highlights her engagement with the transformative potential of AI in finance—a field where she explores how computer-based intelligence can reshape traditional financial practices. Surekha’s research contributes to a broader conversation about the ethical and practical implications of AI-driven innovation, particularly in sectors like banking and investment. Her work underscores the promise of AI to enhance efficiency and accuracy in financial intelligence, even as it navigates the complexities of validation and reproducibility. For students and researchers interested in the convergence of AI and finance, Surekha’s studies offer a glimpse into the challenges and opportunities of integrating advanced technologies into real-world economic systems.
Research Focus
Key Achievements
Top Papers
- 1