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Prof.Ammar Mohammed Ammar Mohammed

استاذ الذكاء الاصطناعي Professor College of Computer Engineering & Sciences

Kharj
011-588-8888
amm.mohammed@psau.edu.sa

Curriculum Vitae
Publications

Publications

The full records of Scientific Researches can be found in : https://scholar.google.de/citations?user=LusKsV8AAAAJ&hl=en
=============== Selected papers =====================
Ammar Mohammed, and Rania Kora(2026), Enhancing Text-Based Deepfake Detection: A Comprehensive Evaluation of LoRA Fine-Tuned Large Language Models,” IEEE Access (IF 3.6), vol. 14, pp. 44
Amal Mahmoud, Ammar Mohammed (2026), Enhancing time series forecasting: a hybrid TCN-transformer approach. Neural Computing and Applications,Springer Volume 38., 2026
Baraa Hikal, Ahmed Nasreldin, Ali Hamdi, Ammar Mohammed(2025). Few-Shot Optimized Framework. Proceedings of Tenth International Congress on Information and Communication Technology: ICICT 2025, London, Volume 10
Ammar Mohammed, Rania Kora (2025). A Comprehensive Overview and Analysis
of Large Language Models: Trends and Challenges. IEEE access,
Seifeldein Ahmed, Abdulrahman Allam, Ali Hamdi, Ammar Mohammed(2025). Arabic Symptom Classification and Diagnosis Using Transformer Models and LLM Based Augmentation. IEEE international conference on Intelligent Methods, Systems, and Applications(IMSA2025)
Baraa Hikal,Ahmed Nasreldin, Ali Hamdi,Ammar Mohammed (2025). Few-Shot Optimized Framework for Hallucination Detection in Resource-Limited NLP Systems. arXiv preprint arXiv:2501.16616
Ahmed Samir, Ammar Mohammed, A. et al(2024). Analysis of four long non-coding RNAs for hepatocellular carcinoma screening and prognosis by the aid of machine learning techniques. Scientific Reports 14, 29582, Springer
Megahed Megahed, Ammar Mohammed (2024). A comprehensive review of generative adversarial networks: Fundamentals, applications, and challenges. Wiley Interdisciplinary Reviews:Computational Statistics, 16(1)
Amal Mahmoud, Ammar Mohammed, Magdi AbdelWahab, Khalil(2024): Time series forecasting of wheat crop productivity in Egypt using deep learning techniques. International Journal of Data Science and Analytics: 1-16, Springer
Amal Mahmoud, Ammar Mohammed(2024): Leveraging Hybrid Deep Learning Models for Enhanced Multivariate Time Series Forecasting. Neural Process Letter, Springer, 56, 22
Mohammed Megahed, Ammar Mohammed(2024):MRD-GAN:Muli-Representation Discrimination GAN for Enhancing the Diversity of the Generated Data. Computational Intelligence, Wiley, 40(3)
Ammar Mohammed, Rania Kora (2023): A Comprehensive Review on Ensemble Deep Learning: Opportunities and Challenges. The Journal of King Saud University Computer and Information Sciences,ElSevier
Mohammed Abdelhay, Ammar Mohammed (2023): Deep Learning approach for Arabic Healthcare: MedicalBot. Social network analysis and mining, Springer

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Prof.Ammar Mohammed Ammar Mohammed

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Faculty Members

Prof.Ammar Mohammed Ammar Mohammed

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