Birmingham City University | United Kingdom
Author Profile
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Summary
Hadeel Saadany is a distinguished researcher and lecturer specializing in natural language processing, computational linguistics, and data science. she holds a phd in computer science (nlp) and an ma in computational linguistics from the university of wolverhampton, uk. her professional journey spans roles as a lecturer in data science, research fellow, and research assistant, contributing to machine learning model development, large language model applications, knowledge graph construction, sentiment analysis, and multilingual dataset curation. she has supervised numerous undergraduate and postgraduate projects, collaborated with industrial partners, published in peer-reviewed journals, and participated in nlp shared tasks and editorial work.
Early academic pursuits
Hadeel Saadany pursued her phd in computer science with a focus on natural language processing at the university of wolverhampton, uk, completing it in 2023 with honours pass with no correction. prior to her phd, she earned an ma in computational linguistics from the same university in 2019, achieving distinction. her academic journey reflects a deep commitment to language technologies and computational methods, providing a solid foundation for her research and professional endeavors in nlp and ai.
Professional endeavors
Hadeel currently serves as a lecturer in data science at birmingham city university, uk, where she leads and develops modules on ai and machine learning for undergraduate students, while also teaching postgraduate courses in python programming, applied machine learning, and ai. she supervises final year projects and master’s dissertations in computer science and collaborates on faculty research projects focusing on large language models and knowledge graph implementation.
Contributions and research focus
Hadeel’s research is centered on natural language processing, machine learning, and data science applications. she specializes in large language models, knowledge graph implementations, sentiment analysis, information retrieval, and custom language model construction for domain-specific speech recognition. her work extends to compiling and curating multilingual datasets, building relational networks, and employing statistical analysis and visualization techniques for textual data. she actively publishes in peer-reviewed nlp and data science journals and participates in shared tasks, workshops, and conferences.
Impact and influence
Hadeel’s work has influenced both academic and industrial applications of nlp. through her research fellow role and collaboration with industrial partners, she has implemented practical machine learning solutions for commercial pipelines. her supervision of undergraduate and postgraduate students has fostered new talent in computational linguistics and data science. her participation in conferences, workshops, and peer-reviewed publications has contributed to advancing nlp methodologies, multilingual data analysis, and sentiment detection technologies.
Academic cites
Hadeel’s research output spans multiple peer-reviewed journals and conferences in nlp, computational linguistics, and data science. her publications include work on large language models, knowledge graph integration, sentiment analysis, and information retrieval systems. her editorial work with the natural language engineering journal further highlights her engagement in scholarly communication and peer review processes.
Legacy and future contributions
Hadeel Saadany is poised to continue shaping the field of nlp and data science through her teaching, research, and collaborative projects. her future contributions are expected to focus on enhancing large language model applications, improving multilingual data processing, and developing knowledge graph-based solutions for real-world problems. she remains dedicated to mentoring emerging researchers and integrating innovative ai and nlp methods into both academic and industrial settings.
Publications
Title: BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text
Author(s): H. Saadany, C. Orasan
Journal: Proceedings of TRITON (TRanslation and Interpreting Technology ONline), 48-56, 2021
Title: Fake or Real? A Study of Arabic Satirical Fake News
Author(s): H. Saadany, E. Mohamed, C. Orasan
Journal: Proceedings of the 3rd International Workshop on Rumours and Deception, 2020
Title: Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews
Author(s): H. Saadany, C. Orasan
Journal: Proceedings of the Fifth Arabic Natural Language Processing Workshop, 24-37, 2020
Title: RGCL at IDAT: deep learning models for irony detection in Arabic language
Author(s): T. Ranasinghe, H. Saadany, A. Plum, S. Mandhari, E. Mohamed, C. Orasan, …
Journal: IDAT, 2019
Title: Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study
Author(s): H. Saadany, C. Orasan, R.C. Quintana, F. Carmo, L. Zilio
Journal: arXiv preprint arXiv:2106.10719
Conclusion
Hadeel’s work has made a significant impact on both academic research and practical applications of nlp and ai. through her teaching, mentoring, and collaborative projects, she continues to advance the fields of computational linguistics and data science. her dedication to innovation, research excellence, and student development positions her as a leading contributor to the future of natural language processing and machine learning, shaping the next generation of researchers and practitioners.