Wadee Abdulhafiz Abdulaziz Nashir ALqubaty, Dr.
Assistant Professor of Artificial Intelligence & NLP
Faculty of Computing and Information Technology
University of Science and Technology (UST) Sana’a – Republic of Yemen
Email: w.alqubaty@ust.edu.ye
P.O.Box: 13064
Education (Qualifications)
- 🎓 PhD in Computing, University of Science and Technology (UST), 2020.
- 🎓 Master of Information Systems, University of Science and Technology (UST), 2012.
- 🎓 BSc in Computer Science, University of Science and Technology (UST), 2004.
- 🎓 BSc in General Financial Accounting, Taiz University, 2003.
Academic & Administrative Experience
| Position | Institution | Period |
|---|---|---|
| Head of Quality Assurance & Academic Accreditation Unit | Faculty of Computing, UST | 15 Years |
| Software Engineering Program Coordinator | Faculty of Computing, UST | 5 Years |
| Chair of Graduation Projects & Exams Committees | Faculty of Computing, UST | 5 Years |
Teaching Experience
Over 20 years of experience in undergraduate and postgraduate courses:
- AI & Machine Learning: Deep Learning, Business Intelligence, Data Analytics.
- Software Engineering: Requirements Analysis, System Design, Methodologies.
- Database Systems: Analysis, Design, Implementation, and Administration.
- Algorithms: Data Structures, Algorithm Design and Analysis.
Scientific & Research Experience (Key Projects)
Extensive research focus on Arabic NLP, including:
- Noor Project: Syntactic and grammatical analysis of Classical Arabic.
- Diwan Project: Development of one of the largest annotated Arabic poetry corpora.
- Mishkat Project: Research in speech processing and enhancement.
- Maqasid Project: Multi-label classification for Arabic poetry using ML.
Published Studies (Key Publications)
- A multi-layered quranic treebank dataset with hybrid syntactic annotations (2020).
- “Diwan”: Constructing the Largest Annotated Corpus for Arabic Poetry.
- Multi-Label Classification of Qur’anic Similes: A Computational Approach.
- A Decade in Computational Quranic Studies (2016–2025): A Systematic Survey.
- Task-Offloading Models and Edge-Computing Architectures for VANETs.
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