Av Rahul

Papers

Total Citations

H-Index

About

Av Rahul has made impactful contributions at the intersection of cybersecurity, automation, and financial technology. His key research areas include robotic process automation (RPA), biometric authentication, and secure digital transactions. Rahul’s most cited work, “Client Authentication by Signature Verification Method Using Robotic Process Automation (RPA)” (2022, 14 citations), addresses a critical vulnerability in banking—manual signature verification. By proposing an RPA-driven solution, he demonstrated how automation can reduce fraud risk and improve efficiency in processes like account creation, cheque clearance, and withdrawal verification. This work highlights his ability to bridge practical industry challenges with cutting-edge automation techniques. Rahul’s research has been recognized for its potential to transform legacy banking systems, offering scalable, secure alternatives to manual oversight. His contributions are particularly valuable for students and researchers exploring the convergence of RPA and cybersecurity in financial services. With a growing citation footprint, Rahul continues to shape discussions on trustworthy automation, making his work a key reference for those developing next-generation authentication systems in banking and beyond.