Papers

2

Total Citations

13

H-Index

2

About

Dr. Osama Hosam Abdellatif is a leading researcher at the intersection of artificial intelligence and automation, with a primary focus on Large Language Models (LLMs), Robotic Process Automation (RPA), and intelligent document processing. His work is distinguished by pioneering efforts to integrate LLM-driven approaches into RPA frameworks, significantly enhancing the efficiency and accuracy of Optical Character Recognition (OCR) systems. His most influential contribution, the paper "LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR" (2025), has already garnered 11 citations, reflecting its immediate impact on automating the extraction and structuring of data from unstructured visual inputs like scanned invoices. In his subsequent work, "LLMOps-Driven Robotic Process Automation Approach" (2025), he further advances the field by operationalizing LLM management within RPA pipelines. Dr. Abdellatif’s research addresses critical challenges in digitization, offering scalable solutions that reduce manual effort and error rates in data-intensive industries. His innovative fusion of LLMs with automation tools marks him as a key figure in the next wave of intelligent process optimization.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR
11 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: October University of Modern Sciences and Arts, Cairo University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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