Ahmed Ayman

October University of Modern Sciences and Arts, Cairo University

Papers

Total Citations

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About

Dr. Ahmed Ayman is a pioneering researcher at the intersection of artificial intelligence and enterprise automation, with a primary focus on Large Language Model (LLM) operations and Robotic Process Automation (RPA). His groundbreaking work centers on integrating advanced AI models into automated workflows to transform how organizations handle unstructured data. Dr. Ayman’s most influential contribution, "LMV-RPA: Large Model Voting-Based Robotic Process Automation" (2025), has already garnered 7 citations, introducing a novel framework that leverages multiple large models to improve accuracy and reliability in document processing tasks. His subsequent work, "LLMOps-Driven Robotic Process Automation Approach" (2025), further advances this field by addressing the operational challenges of deploying LLMs in production environments, particularly for extracting data from scanned invoices and other unstructured visual inputs. Through his research, Dr. Ayman demonstrates how traditional OCR limitations can be overcome by harnessing the reasoning capabilities of modern AI, offering scalable solutions for industries burdened by digitized documentation. His work represents a significant step toward more intelligent, adaptable automation systems that promise to reshape business process management.