Iman Akour
Papers
1
Total Citations
4
H-Index
1
About
Iman Akour is a leading researcher at the intersection of artificial intelligence, big data analytics, and financial technology. Her most influential work, "Modelling Big Data Management for the Finance Sector Using Artificial Intelligence" (2024), has already garnered 4 citations, demonstrating its timely impact on the rapidly evolving fintech landscape. Akour’s primary contributions lie in developing AI-driven frameworks that transform how financial institutions manage, process, and derive value from massive datasets. By integrating machine learning models with big data architectures, she addresses critical challenges in risk assessment, fraud detection, and real-time decision-making. Her research bridges the gap between theoretical AI advancements and practical financial applications, offering scalable solutions for data governance and predictive analytics. Akour’s work is particularly notable for its emphasis on ethical AI implementation and regulatory compliance, ensuring that technological innovation aligns with industry standards. As a rising voice in computational finance, she continues to shape how the sector leverages intelligent systems for sustainable growth. Her growing citation count reflects the immediate relevance of her findings to both academic researchers and industry practitioners seeking to harness AI for financial data management.
Research Focus
Key Achievements
Top Papers
- 1