Mohammad Albarham Mohammad Albarham

Research

8 publications on cross-lingual image retrieval, Arabic sign language recognition and Arabic NLP — with abstracts, DOIs and BibTeX for each.

Looking for competition and contest results? See Competitions →

Publications
8
Venues
6
Years
2022–2025
Featured
4

Publications

20251 paper

2025 EAAI Featured

Unlocking language boundaries: AraCLIP - transforming Arabic language and image understanding through cross-lingual models

Muhammad Al-Barham, Imad Afyouni, Khalid Almubarak, Ayad Turky, Ibrahim Abaker Targio Hashem, Ali Bou Nassif, Ismail Shahin, Ashraf Elnagar

Engineering Applications of Artificial Intelligence, vol. 151, p. 110577

Paper PDF DOI Hugging Face

In the domain of image retrieval, the integration of text and images has been transformative, facilitating models that transcend language barriers. This paper introduces Arabic Contrastive Language-Image Pre-training (AraCLIP), an extension of the CLIP model tailored for Arabic image retrieval. AraCLIP leverages the CLIP architecture, introducing Knowledge Distillation to transfer cross-modal knowledge from a pre-trained English model to an Arabic counterpart.

  • Arabic multimodal
  • Text-to-image retrieval
  • Knowledge distillation
  • Deep learning
BibTeX 
@article{ALBARHAM2025110577,
  title = {Unlocking language boundaries: AraCLIP - transforming Arabic language and image understanding through cross-lingual models},
  journal = {Engineering Applications of Artificial Intelligence},
  volume = {151},
  pages = {110577},
  year = {2025},
  issn = {0952-1976},
  doi = {https://doi.org/10.1016/j.engappai.2025.110577},
  url = {https://www.sciencedirect.com/science/article/pii/S0952197625005779},
  author = {Muhammad Al-Barham and Imad Afyouni and Khalid Almubarak and Ayad Turky and Ibrahim Abaker Targio Hashem and Ali Bou Nassif and Ismail Shahin and Ashraf Elnagar}
}

20241 paper

2024 ArabicNLP @ ACL Featured

AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval

Muhammad Al-Barham, Imad Afyouni, Khalid Almubarak, Ashraf Elnagar, Ayad Turky, Ibrahim Hashem

Proceedings of The Second Arabic Natural Language Processing Conference, p. 102-110

Paper PDF Hugging Face

This paper introduces Arabic Contrastive Language-Image Pre-training (AraCLIP), a model designed for Arabic image retrieval tasks, building upon the Contrastive Language-Image Pre-training (CLIP) architecture. AraCLIP leverages Knowledge Distillation to transfer cross-modal knowledge from English to Arabic, enhancing its ability to understand Arabic text and retrieve relevant images.

  • Arabic multimodal
  • CLIP
  • Image retrieval
  • Cross-lingual
BibTeX 
@inproceedings{al-barham-etal-2024-araclip,
  title = "{A}ra{CLIP}: Cross-Lingual Learning for Effective {A}rabic Image Retrieval",
  author = "Al-Barham, Muhammad and Afyouni, Imad and Almubarak, Khalid and Elnagar, Ashraf and Turky, Ayad and Hashem, Ibrahim",
  booktitle = "Proceedings of The Second Arabic Natural Language Processing Conference",
  month = aug,
  year = "2024",
  address = "Bangkok, Thailand",
  publisher = "Association for Computational Linguistics",
  url = "https://aclanthology.org/2024.arabicnlp-1.9",
  pages = "102--110"
}

20235 papers

2023 ICETAI

Arabic News Articles Classification Using Different Word Embeddings

M Moneb Khaled, Muhammad Al-Barham, Osama Ahmad Alomari, Ashraf Elnagar

International Conference on Emerging Trends and Applications in Artificial Intelligence, p. 125-136

Paper DOI

This paper investigates different word embedding techniques for Arabic news article classification.

  • Arabic NLP
  • Text Classification
  • Word Embeddings
BibTeX 
@inproceedings{khaled2023arabic,
  title={Arabic News Articles Classification Using Different Word Embeddings},
  author={Khaled, M Moneb and Al-Barham, Muhammad and Alomari, Osama Ahmad and Elnagar, Ashraf},
  booktitle={International Conference on Emerging Trends and Applications in Artificial Intelligence},
  pages={125--136},
  year={2023},
  organization={Springer}
}
2023 ICETAI

Arabic Sign Language Alphabet Classification via Transfer Learning

Muhammad Al-Barham, Osama Ahmad Alomari, Ashraf Elnagar

International Conference on Emerging Trends and Applications in Artificial Intelligence, p. 226-237

Paper DOI

This paper presents a transfer learning approach for Arabic Sign Language alphabet classification.

  • Arabic Sign Language
  • Transfer Learning
  • Image Classification
BibTeX 
@inproceedings{al2023arabic,
  title={Arabic Sign Language Alphabet Classification via Transfer Learning},
  author={Al-Barham, Muhammad and Alomari, Osama Ahmad and Elnagar, Ashraf},
  booktitle={International Conference on Emerging Trends and Applications in Artificial Intelligence},
  pages={226--237},
  year={2023},
  organization={Springer}
}
2023 IEEE SLT Featured

MASC: Massive Arabic Speech Corpus

Mohammad Al-Fetyani, Muhammad Al-Barham, Gheith Abandah, Adham Alsharkawi, Maha Dawas

IEEE Spoken Language Technology Workshop (SLT), p. 1006-1013

Paper DOI Code Hugging Face IEEE DataPort Language model ASR model Tweets dataset

This paper presents MASC, a Massive Arabic Speech Corpus for automatic speech recognition research.

  • Arabic Speech
  • ASR
  • Dataset
  • Speech Recognition
BibTeX 
@inproceedings{al2023masc,
  title={MASC: Massive Arabic Speech Corpus},
  author={Al-Fetyani, Mohammad and Al-Barham, Muhammad and Abandah, Gheith and Alsharkawi, Adham and Dawas, Maha},
  booktitle={2022 IEEE Spoken Language Technology Workshop (SLT)},
  pages={1006--1013},
  year={2023},
  organization={IEEE}
}
2023 ICETAI

Marine Predatory Algorithm for Feature Selection in Speech Emotion Recognition

Osama Ahmad Alomari, Muhammad Al-Barham, Ashraf Elnagar

International Conference on Emerging Trends and Applications in Artificial Intelligence, p. 279-291

Paper DOI

This paper proposes using Marine Predatory Algorithm for feature selection in speech emotion recognition tasks.

  • Speech Emotion Recognition
  • Feature Selection
  • Optimization
BibTeX 
@inproceedings{alomari2023marine,
  title={Marine Predatory Algorithm for Feature Selection in Speech Emotion Recognition},
  author={Alomari, Osama Ahmad and Al-Barham, Muhammad and Elnagar, Ashraf},
  booktitle={International Conference on Emerging Trends and Applications in Artificial Intelligence},
  pages={279--291},
  year={2023},
  organization={Springer}
}
2023 arXiv Featured

RGB Arabic Alphabets Sign Language Dataset

Muhammad Al-Barham, Adham Alsharkawi, Musa Al-Yaman, Mohammad Al-Fetyani, Ashraf Elnagar, Ahmad Abu SaAleek, Mohammad Al-Odat

arXiv preprint

Paper PDF Hugging Face Kaggle Roboflow

This paper presents a comprehensive RGB dataset for Arabic Alphabets Sign Language recognition.

  • Arabic Sign Language
  • Dataset
  • Computer Vision
BibTeX 
@article{al2023rgb,
  title={RGB Arabic Alphabets Sign Language Dataset},
  author={Al-Barham, Muhammad and Alsharkawi, Adham and Al-Yaman, Musa and Al-Fetyani, Mohammad and Elnagar, Ashraf and SaAleek, Ahmad Abu and Al-Odat, Mohammad},
  journal={arXiv preprint arXiv:2301.11932},
  year={2023}
}

20221 paper

2022 IEEE ICICS

Arabic Sign Language Recognition Using Deep Learning Models

Muhammad Al-Barham, Ahmad Abu Sa'Aleek, Mohammad Al-Odat, Ghada Hamad, Musa Al-Yaman, Ashraf Elnagar

13th International Conference on Information and Communication Systems (ICICS), p. 226-231

Paper DOI

This paper presents deep learning approaches for Arabic Sign Language recognition.

  • Arabic Sign Language
  • Deep Learning
  • Computer Vision
BibTeX 
@inproceedings{al2022arabic,
  title={Arabic Sign Language Recognition Using Deep Learning Models},
  author={Al-Barham, Muhammad and Sa'Aleek, Ahmad Abu and Al-Odat, Mohammad and Hamad, Ghada and Al-Yaman, Musa and Elnagar, Ashraf},
  booktitle={2022 13th International Conference on Information and Communication Systems (ICICS)},
  pages={226--231},
  year={2022},
  organization={IEEE}
}