ASSOCIATE PROF. DR. MAIZATUL AKMAR BINTI ISMAIL
Department of Information System
Faculty of Computer Science and Information Technology
maizatulum.edu.myView CV | |
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Biography | |
Dr. Maizatul Akmar Ismail is an Associate Professor at the Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya (UM), Malaysia. Her academic qualifications were obtained from Universiti Malaya (UM) for her Bachelor's and Ph.D. degree, and the University of Putra Malaysia for her master's. Maizatul leads a research team in the areas of Information Systems specifically on Educational Technology, Recommender Systems, and Data Mining. She has been actively publishing more than 100 research papers at renowned local/international conferences and highly reputable journals, and is currently an Associate Editor of Malaysian Journal of Computer Science. Maizatul has participated in many competitions and exhibitions to promote her research works. She has been appointed as Competition Judges for several international innovation competitions.
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Publication
Finance
Project Title | Progress | Status |
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Moocs Session-based Recommendation Model For Anonymous Users Using Meta-learning Approach |
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new |
Recommendation of MOOC based on Meta-Learning |
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on going |
Mental Health Awareness Program For School Students And Teachers Using Mobile Apps |
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end |
This information is generated from Research Grant Management System |
PERFORMANCE EVALUATION OF MULTILABEL EMOTION CLASSIFICATION USING DATA AUGMENTATION TECHNIQUES
Aspect Extraction in Domain Lexicon Generation: A New Frequency-Based Approach
Development of an epilepsy self-management mobile health app framework: Content validity study results
Deep Learning-Driven Virtual Furniture Replacement Using GANs and Spatial Transformer Networks
Introduction To Database
Game-Based Social Skills Apps to Enhance Collaboration Among Young Children: A Case Study
The Main Components of Creativity in Educational Game: A Case Study
A Citation-Based Recommender System for Scholarly Paper Recommendation
Customer E-loyalty: From an Estimate in Electronic Commerce with an Artificial Neural Fuzzy Interface System (ANFIS)