DR. ROHANA BINTI MAHMUD
Department of Artificial Intelligence
Faculty of Computer Science & Information Technology
rohanamahmud@um.edu.myView CV | |
Publons | |
Scopus Link | |
Biography | |
Rohana Mahmud is a Senior Lecturer in the Department of Artificial Intelligence (AI), Faculty Computer Science and Information Technology, Universiti Malaya (UM), Malaysia. She obtained her Ph.D. from the University of Manchester, United Kingdom. She has been teaching various courses in AI and Computer Sciences disciplines. As her expertise is in Natural Language Processing (NLP), Expert System and Machine Learning, hence, she had carried out a few collaborative research with experts from different fields such as Language and Linguistic, Bahasa Melayu, Al Quran and Hadith, Tulisan Jawi, and industries such as MIMOS Bhd., Megasap Sdn. Bhd. and Dewan Bahasa dan Pustaka (DBP). She is currently the Chairman of the Technical Committee (TC01) for Multilingual of Information Technology, Standard Malaysia. She is also a Certified Software Tester (Foundation Level) of the Malaysian Software Tester Board (MSTB) and also a Qualified Trainer (L1) and Practitioner (L3) for the Malaysian Innovation Association, MyTRIZ. She has been appointed as the Deputy Director for the Centre of Internships Training and Academic Enrichment (CITrA, UM) and involved with the initial development of Malaya Student Future Readiness Inventory (MSFRI) project. She was also UM Representative for the MySTEM Ambassador Program. Dr. Rohana is also known as an active academician in students’ affairs matters and served more than ten years as the Master and Fellow of two different UM Residential Colleges’, namely Bestari and Dayasari Colleges. She was the Associate Member for the Student Soft-Skills center and also the University Women Association (UWA) Committee Members. |
Publication
Finance
Grant | Progress | Status |
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GPF091A-2020 |
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on going |
RF001D-2018 |
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end |
RP019A-15HNE |
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end |
RG087-12ICT |
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end |
This information is generated from Research Grant Management System |
A Multi-Criteria Approach for Arabic Dialect Sentiment Analysis for Online Reviews: Exploiting Optimal Machine Learning Algorithm Selection.
A Multi-Criteria Approach for Arabic Dialect Sentiment Analysis for Online Reviews: Exploiting Optimal Machine Learning Algorithm Selection
Ontology population: Approaches and design aspects
Ontology population: Approaches and design aspects
STEM Appreciation Activity Book
Pengenalan Kepada Pangkalan Data
Pengenalan Kepada Sistem Pengendalian , Edisi Kedua
Pengenalan kepada Sistem Pengendalian
Design of an Algebraic Concept Operator for Adaptive Feedback in Physics
A Cognitive Knowledge-based Framework for Adaptive Feedback
Pembinaan Korpora Bahasa Banjar di Malaysia