My Name is Emad Mohamed

As a linguist with a robust computational background, my primary research focus lies within the domain of Cultural Analytics. This interdisciplinary field draws upon my expertise in Applied Artificial Intelligence, Machine Learning, and Statistics to illuminate patterns and insights within diverse cultural phenomena. My scholarly contributions, evidenced by a multitude of published articles, encompass key areas such as Authorship Attribution, Media Analytics, and Cultural Heritage. Presently, I am engaged in the analysis of legal language through a funded research project, employing a diverse array of methodologies to extract meaningful patterns from textual data. My research approach combines low-tech and high-tech techniques, incorporating aspects of Machine Learning, Text Analytics, Coding, and Network Analysis to explore human cultural production and conduct Cultural Analytics. In addition, I maintain an active interest in the potential applications and misapplications of data and algorithms, fostering a critical perspective toward the digital, computational, and deep technologies that increasingly shape our understanding of the world. By bridging the divide between the humanities and advanced computational methods, I aim to contribute innovative insights to the field of Digital Humanities and promote a deeper understanding of the complex interplay between culture and technology.

EDUCATION

PhD in Computational Linguistics and Cognitive Science, Indiana University Bloomington, USA, 2010.
MA in Computational Linguistics , Indiana University Bloomington, USA, 2009.
BA in English and Translation, Al-Azhar University, Egypt, 1998.

Publications

Journal Articles
Emad Mohamed and Abdelhameed Elewa (2025). Impact of Genre on Authorship Attribution in Arabic Poetry and Prose. International Journal of Humanities and Arts Computing. (Edinburgh University Press).
Craig Johnson & Emad Mohamed (2025). Responsible AI and action learning. Action Learning: Research and Practice, 1–13. https://doi.org/10.1080/14767333.2025.2458900
Emad Mohamed (2024). Who Wrote “The World of Saddam Hussein?” A Supervised Machine Learning Approach. Digital Scholarship in the Humanities (Oxford University Press).
May Zaki and Emad Mohamed (2024). Two translations of Mahfouz’s Awlad Haratina (Children of the Alley): A computational-stylistic analysis. Journal of Cultural Analytics. (McGill University Press)
Emad Mohamed and Raheem Sarwar (2024). Exploring Gender Differences in Fatwa through Machine Learning. Journal of Cultural Analytics. (McGill University Press)
Umar Ryad and Emad Mohamed (2024). A Topic Modelling of Muslim Religious Reform in the Colonial Age: A Computational and Digital Study of al-Manār (1898-1935). Journal of Cultural Analytics. (McGill University Press)
Hadeel Saadany, Emad Mohamed and Raheem Sarwar (2023). Towards a Better Understanding of Tarajem: Creating Topological Networks for Arabic Biographical Dictionaries. Journal of Data Mining & Digital Humanities. doi:10.46298/jdmdh.8990
Emad Mohamedand Raheem Sarwar(2022). Author veriﬁcation of Nahj Al-Balagha. Digital Scholarship in the Humanities (Oxford University Press). fqab103. doi:10.1093/llc/fqab103.
Emad Mohamed, Raheem Sarwar and Sayed Mostafa (2022). Translator attribution for Arabic Using Machine Learning . Digital Scholarship in the Humanities (Oxford University Press).
Emad Mohamed and Raheem Sarwar (2021). Linguistic features evaluation for hadith authenticity through automatic machine learning. Digital Scholarship in the Humanities (Oxford University Press). fqab092. doi:10.1093/llc/fqab092.
Emad Mohamed and Sayed Mostafa (2019). Computing happiness from textual data. Stats, 2(3), 347–370. doi:10.3390/stats2030025
Emad Mohamed (2018). Morphological segmentation and part-of-speech tagging for the arabic heritage. ACM Trans. Asian Low-Resour. Lang. Inf. Process., 17(3). doi:10.1145/3178459
Emad Mohamed (2017). Ara’aytum: The exegetical implications of a qur’anic stance marker. Al-Bayan: Journal of Qur’an and Hadith Studies, 15(2), 170–192.doi:https://doi.org/10.1163/22321969-12340050
Emad Mohamed and Bakinaz Abdalla (2017). What jihad questions do muslims ask? Journal of Islamic and Muslim Studies, 2(1), 56–79.
Emad Mohamed (2016). Jewish, Christian and Islamic in the English Wikipedia. Online-Heidelberg Journal of Religions on the Internet, 11. DOI: https://doi.org/10.17885/heiup.rel.2016.0.23630
Emad Mohamed and Fatheya Sadat (2015). Hybrid Arabic–French Machine Translation using Syntactic Re-ordering and Morphological Preprocessing. Computer Speech Language, 32(1), 135–144. Hybrid Machine Translation: integration of linguistics and statistics. doi:https://doi.org/10.1016/j.csl.2014.10.007
Emad Mohamed (2014). Object and Subject Heavy-NP Shift in Arabic. Research in Corpus Linguistics, 2, 23–33.
Sandra Kuebler and Mohamed (2012). Part of Speech Tagging for Arabic. Natural Language Engineering, 18(4), 521–548. doi:10.1017/S1351324911000325
Book Chapters
Mohamed, E., & Mohamed, E. (2022). Do Egyptians still care about the Arab spring? computational cultural assessment of online and oﬄine activism (A. Douai & E. Mohamed, Eds.). London: Bloomsbury.
Mohamed, E., & Mohamed, E. (2016). Islamists and new media: The muslim brotherhood digital presence in english (A. Douai & M. Ben Moussa, Eds.). doi:10.1057/978-1-137-58141-9_4
Peer-Reviewed Conference Proceedings
Ha, L. A., & Mohamed, E. (2021). Combining text and images for ﬁlm age rating classiﬁcation. TACLing 2021: 5th International Conference on AI in Computational Linguistics.
Saadany, H., Orasan, C., & Mohamed, E. (2020). Fake or real? a study of Arabic satirical fake news. In Proceedings of the 3rd international workshop on rumours and deception in social media (rdsm) (pp. 70–80). Barcelona, Spain (Online): Association for Computational Linguistics. URL: https://www.aclweb.org/anthology/2020.rdsm-1.7
Mohamed, E., & Ha, L. A. (2020). A ﬁrst dataset for ﬁlm age appropriateness investigation. In Proceedings of the 12th language resources and evaluation conference (pp. 1311–1317). Marseille, France: European Language Resources Association. URL: https://www.aclweb.org/anthology/2020.lrec-1.164
Mohamed, E., & Sayyed, Z. A. (2019). Arabic-sos: Segmentation, stemming, and orthography standardization for classical and pre-modern standard arabic. In Proceedings of the 3rd international conference on digital access to textual cultural heritage (pp. 27–32). doi:10.1145/3322905.3322927
Može, S., & Mohamed, E. (2019). Proﬁling idioms: In G. Corpas Pastor & R. Mitkov (Eds.), Computational and corpus-based phraseology (pp. 315–329). Cham: Springer International Publishing.
Ranasinghe, T., Saadany, H., Plum, A., Mandhari, S., Mohamed, E., Orasan, C., & Mitkov, R. (2019). Rgclat idat: Deep learning models for irony detection in the Arabic language. In Fire.
Sadat, F., & Mohamed, E. (2013a). Pre-processing and language analysis for Arabic to French statistical machine translation (traduction automatique statistique pour l’arabe-français améliorée par le prétraitement et l’analyse de la langue) [in French]. In Proceedings of TALN 2013 (volume 2: Short papers) (pp. 620–627). Les Sables d’Olonne, France: ATALA. URL: https://www.aclweb.org/anthology/F13-2015
Sadat, F., & Mohamed, E. (2013). Improved arabic-french machine translation through preprocessing schemes and language analysis. In O. R. Zaïane & S. Zilles (Eds.), Advances in artiﬁcial intelligence (pp. 308–314). Berlin, Heidelberg: Springer Berlin Heidelberg.
Mohamed, E. (2012). Morphological segmentation and part of speech tagging for religious arabic.
Mohamed, E., Mohit, B., & Oﬂazer, K. (2012). Annotating and learning morphological segmentation of Egyptian colloquial Arabic. In Lrec.
Mohamed, E., Mohit, B., & Oﬂazer, K. (2012). Transforming standard Arabic to colloquial Arabic. In Proceedings of the 50th annual meeting of the association for computational linguistics: Short papers volume 2 (pp. 176–180). Jeju Island, Korea: Association for Computational Linguistics.
Mohamed, E. (2011). The eﬀect of automatic tokenization, vocalization, stemming, and pos tagging on arabic dependency parsing. In Proceedings of the ﬁfteenth conference on computational natural language learning (pp. 10–18). Portland, Oregon: Association for Computational Linguistics.
Mohamed, E., & Kübler, S. (2010a). Arabic part of speech tagging. In Lrec.
Mohamed, E., & Kübler, S. (2010b). Is Arabic part of speech tagging feasible without word segmentation? (pp. 705–708). Los Angeles, California: Association for Computational Linguistics.
Mohamed, E., & Kübler, S. (2009). Diacritization for real-world Arabic texts. In Ranlp.

Projects

I am a principal investigator of IslamGPT (2024-2027), in collaboration with Hamad Bin Khalifa University, Qatar. The project seeks to build trustworthy models for deep, specialized and trustworthy Islamic knowledge.
I am a principal investigator of Building a Corpus for Language Disorders (2024-2027), in collaboration with Qatar University, Qatar.
I was a principal investiagtor of Arabic Cultural Analytics. The project digitised hunreds of thousands of pages from the Arabic presss from 1800 to 1950. We developed tools and methods for Arabic morphological analysis, Named Entity Recgnition and Sentiment Analysis. The tools and methods were used to help answer several research questions.
I was a co-investigator and the main architet of The Wolverhampton Digital Humanities Lab, in collaboration with the departments of history, music, and film studies. I wrote the proposal in collaboration with colleagues, and we recieved the funding for three years.
I was an NLP Consultant on The Other in Islamic Salafi Thinking, a project based at l'Université du Québec à Montréal . PI: Rachad Antonius.

Teaching

I have taught a variety of courses including Machine Learning, Computational Linguistics, Corpus Linguistics, Business Analytics, Computer Programming (UNIX, Python & R) and Data and Annotation at the Universities of Bradford, Wolverhampton and Indiana.

Resources

Please check the ArabicSOS toolset for the segmenttaion and orthographic standardisation of arabic here.

My Name is Emad Mohamed

Publications

Journal Articles

Book Chapters

Peer-Reviewed Conference Proceedings

Projects

Teaching

Resources