Md Samiun
Papers
1
Total Citations
2
H-Index
1
About
Md Samiun is a forward-thinking researcher whose work sits at the critical intersection of financial technology, regulatory compliance, and artificial intelligence. His primary research areas include AI-driven fraud detection, robotic process automation in banking, and the modernization of regulatory frameworks. In his most cited paper, "Enhancing Regulatory Compliance in the Modern Banking Sector: Leveraging Advanced IT Solutions, Robotization, and AI" (2025), Samiun explores how integrating AI and automation can revolutionize risk management and fraud prevention while ensuring adherence to evolving regulations. This study, already garnering 2 citations shortly after publication, highlights his ability to identify practical, scalable solutions for the financial sector's most pressing challenges. By demonstrating how AI can be systematically applied to detect anomalies and streamline compliance, Samiun provides a roadmap for banks to reduce human error and operational costs. His work is particularly notable for bridging the gap between cutting-edge technology and real-world regulatory demands, making it invaluable for students and professionals in fintech, compliance, and AI research. As the financial industry continues to digitize, Samiun’s contributions position him as a key voice in shaping a safer, more efficient banking ecosystem.
Research Focus
Key Achievements
Top Papers
- 1