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Draft:Abdelrahman Emad

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    1. Abdelrahman Emad
      1. Biography

Abdelrahman Emad is an Egyptian data scientist, machine learning engineer, and researcher specializing in artificial intelligence (AI), deep learning, and data analytics. He has made significant contributions to AI-powered document retrieval, financial compliance automation, and machine learning applications in biometrics and healthcare.

      1. Education and Research

Abdelrahman Emad has a strong academic background in electrical engineering, data science, and AI. His research focuses on applying machine learning to solve real-world problems, particularly in financial compliance, medical standards, and natural language processing (NLP). He is the author of an IEEE paper on **machine learning-based classification of cotton diseases using leaf images**, published in the 2022 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC).[1]

      1. Career and Contributions

Emad has worked on various AI-driven projects, including: - **Palmprint Classification using Deep Learning** – An AI-powered biometric authentication system utilizing CNNs and TensorFlow. - **AI Strategy Recommendation Model** – A data-driven recommendation system for business strategy optimization. - **Medical Laboratory Website with Data Analytics** – A web-based platform integrating AI for medical data analysis. - **Predictive Model for Medical Standards Compliance** – A system for automating GAHAR, JCI, and ISO 15189-2022 compliance assessments. - **AI-Powered Document Retrieval System** – Built using LlamaIndex, AWS Cloud, and Pinecone for NLP-based search and retrieval. - **Deep Learning for Portfolio Optimization** – Applied reinforcement learning techniques to optimize financial portfolios. - **AI-Based Sentiment Analysis for Social Media Monitoring** – Designed an NLP system to analyze sentiment in Arabic and English social media posts. - **Automated Document Summarization System** – Built an AI-powered system for summarizing legal and business documents.

      1. Publications

- **Machine Learning-Based Classification of Cotton Diseases Using Leaf Images** – Published in IEEE Xplore.[2]

      1. Media Recognition

Abdelrahman Emad’s contributions have been recognized in multiple news articles, highlighting his research and participation in international conferences: - **Rosa El Youssef**: Coverage of his participation in the International Conference of the Arab Academy for Science and Maritime Transport.[3] - **Damanhour University**: Featured for his research contributions.[4] - **Damanhour University - Faculty of Computers and Information**: Recognition for academic and research excellence.[5]

      1. External Links

- [IEEE Profile](https://ieeexplore.ieee.org/document/10620532) - [GitHub](#) - [LinkedIn](#) - [Personal Website](#)

      1. See Also

- Machine Learning in Agriculture - AI Applications in Financial Compliance - Deep Learning for Financial Forecasting - AI-Powered Business Strategy Models

References

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  1. ^ Emad, Abdelrahman (2022). "Machine Learning-Based Classification of Cotton Diseases Using Leaf Images". IEEE Xplore: 165–171. doi:10.1109/ITC-Egypt61547.2024.10620532.
  2. ^ Emad, Abdelrahman (2022). "Machine Learning-Based Classification of Cotton Diseases Using Leaf Images". IEEE Xplore: 165–171. doi:10.1109/ITC-Egypt61547.2024.10620532.
  3. ^ "جامعة دمنهور تشارك في المؤتمر الدولي للأكاديمية العربية للعلوم والنقل البحري". Rosa El Youssef. 2025.
  4. ^ "Damanhour University News".
  5. ^ "Damanhour University CIS Faculty News".