Osama Hosam Abdellaif

October University of Modern Sciences and Arts

Papers

Total Citations

H-Index

About

Osama Hosam Abdellaif is a leading researcher at the forefront of intelligent automation, specializing in the integration of Robotic Process Automation (RPA) with advanced artificial intelligence. His work focuses on overcoming the limitations of traditional RPA systems by incorporating Large Language Models (LLMs) and Optical Character Recognition (OCR) to create more adaptive, efficient, and accurate document processing pipelines. In his highly cited 2024 paper, "ERPA: Efficient RPA Model Integrating OCR and LLMs for Intelligent Document Processing" (9 citations), Abdellaif introduced a novel model that significantly enhances ID data extraction and optimizes OCR tasks within complex immigration workflows. Building on this foundation, his 2025 work, "LMV-RPA: Large Model Voting-Based Robotic Process Automation" (7 citations), pioneers a voting-based framework that leverages multiple large models to improve decision-making reliability in automation tasks. With a growing citation footprint, Abdellaif’s contributions are shaping the next generation of intelligent automation, offering scalable solutions for high-volume, data-intensive environments. His research is essential reading for students and practitioners seeking to understand the convergence of RPA, LLMs, and OCR in modern enterprise systems.