DrKhetam Al Sharou
Assistant Professor
School of Modern Languages and Cultures
ABOUT
Dr Khetam Al Sharou is an Assistant Professor in Language Technologies and AI Governance. She also serves as a PGR Admissions Advisor (TTS). Her research and teaching sit at the intersection of artificial intelligence (AI), language technologies, translation, cultures and ethics, producing work with academic and industrial impact in tool development and user-experience. Her work covers human-machine interaction and their wider applications, translation pedagogy, didactics in Higher Education, multilingual communication in healthcare and crisis settings, machine translation quality evaluation and the ethical and governance challenges of AI, including the responsibilities of organisations that develop and deploy AI systems.
Dr Al Sharou holds a PhD in Translation Studies from University College London (UCL), where her doctoral research bridged Translation Studies, Computer Science, and NLP to examine the use of machine translation in translator education. She has held teaching and research positions at UCL, Imperial College London, the University of Antwerp, Dublin City University, the University of Surrey, and the University of Damascus, giving her an interdisciplinary view of language technologies, multilingual communication, and the societal implications of AI. She has extensive experience in higher education teaching, research supervision, and translation technology training, and is a Senior Fellow of the Higher Education Academy (SFHEA).
DEGREES
- PhD in Translation StudiesUniversity College London, United Kingdom
- MSc in English-Arabic Translation and Computer Assisted Translation ToolsHeriot-Watt University, Edinburgh, United Kingdom
- BA in English Language and LiteratureUniversity of Damascus, Syrian Arab Republic
- Diploma in Arabic Language TeachingInstitute of Teaching and Education, Syrian Arab Republic
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- ArabicCan read, write, speak, understand and peer review