العربية
Dr Fasih Ahmed
Biography
Dr. Fasih Ahmed is an applied and computational linguist with a PhD in Linguistics from the University of Nantes, France, Currently, he is working as Associate Professor of Linguistics at Sohar University, Oman, Over his academic career, he has served as Tenured Associate Professor and former Head of the Department of Humanities at COMSATS University Islamabad, following earlier faculty appointments at Quaid-i-Azam University.
Dr. Ahmed’s research lies at the intersection of computational linguistics, ecolinguistics, discourse studies, and applied linguistics. His work employs advanced text-mining techniques, including topic modelling (LDA), corpus-driven analysis, and computational discourse methods, to investigate how language frames environmental issues, food insecurity, child-abuse reporting, political communication, and climate-change narratives. He has published in leading international journals such as Social Science Computer Review, Cogent Arts & Humanities, Digital Humanities, International Journal of Applied Linguistics, and PLOS ONE. His scholarship also includes computational analyses of UN General Assembly speeches, ecological modelling of media discourses, and critical examinations of linguistic representation in advertisements. In addition to his publications, Dr. Ahmed has supervised more than 35 graduate theses, contributing to the development of emerging scholars in computational, ecological, and discourse-analytic research.
Qualification
- Ph.D. in Linguistics, University of Nantes, France, 2013.
- M.Phil. in Linguistics, University of Nantes, France, 2009.
- M.A. in English Language, Literature and Linguistics, National University of Modern Languages (NUML), Pakistan, 2006.
Teaching Interest
- Applied Linguistics
- Computational Linguistics
- Discourse Analysis
- Syntax
- Phonetics
Research Interest
- Text Analytics
- Discourse Analysis
- Ecolinguistic Analysis
Publications
- Afzal, N., & Ahmed, F. (2025). Analyzing the dynamics of food insecurity in Pakistan by employing LDA text-mining to English newspaper discourses: A corpus-driven study. GeoJournal, 90, DOI: https://doi.org/10.1007/s10708-025-11535-x, ISSN 0343-2521.
- Amin, R. U., Haidar, S., Manan, S. A., & Ahmed, F. (2025). Identities in flux: English as cultural capital and a rationale for investment in a Pakistani university classroom. International Journal of Applied Linguistics, 35(2), 873–884.
- Rabbani, S., & Ahmed, F. (2025). Ecological modelling: A computational analysis of air pollution discourses in English print media of India and Pakistan. PLOS ONE, 20(2), e0315087. DOI: https://doi.org/10.1371/journal.pone.0315087, ISSN 1932-6203.
- Ahmed, F., & Khan, S. (2025). Text and context in understanding and interpreting a state’s preferences through text-mining of the UN General Assembly speeches. FWU Journal of Social Sciences, 19(1), 91–101.
- Ahmed, F. (2025), Formalizing the Social Aspects of Topic Modeling: Focus on the Social Positioning of Researchers, Text Mining in Educational Research , Springer Nature. Singapore.
- Aziz, A., & Ahmed, F. (2024). Ecological modelling: Applying computational linguistic analysis to the UN Secretary-General’s speeches on climate change (2018–2022). Digital Studies/Le champ numérique, 14(1).
- Ahmed, F., & Khan, A. (2023). Topic modeling as a tool to analyze child abuse from the corpus of English newspapers in Pakistan. Social Science Computer Review, 41(6), 2073–2089.
- Ain, Q., Ahmed, F., Gilzai, S. A., & Asim, M. (2023). The erasure of nature becoming the new normal: An ecolinguistic analysis of food products’ commercial discourse of multinational companies. Cogent Arts & Humanities, 10(1), 2164405.
- Khan, S., Ahmed, F., & Mubeen, M. (2022). A text-mining research based on LDA topic modelling: A corpus-based analysis of Pakistan’s UN assembly speeches (1970–2018). International Journal of Humanities and Arts Computing, 16(2), 214–229.
- Ahmed, F., Nawaz, M., & Jadoon, A. (2022). Topic modeling of the Pakistani economy in English newspapers via latent Dirichlet allocation (LDA). Sage Open, 12(1).