Rate My Professor Aida Mustapha

Prof. Mustapha's research specializations encompass soft computing, data mining, computational linguistics, software agents, and artificial intelligence, with a focus on natural language processing applied to holy texts such as the Quran. She has published over 450 refereed publications, including key works like "Data quality: A survey of data quality dimensions" (2012), "Crossover and Mutation Operators of Genetic Algorithms" (2017), "Comprehensive review of artificial intelligence and statistical approaches in distributed denial of service attack and defense methods" (2019), "Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease" (2019), and "Deep fake detection and classification using error-level analysis and deep learning" (2023). She serves as Chief Editor of the Journal of Quranic Sciences and Research and lead trainer for Akademi Intelek dan Data Analitik (AI.DA), delivering data and AI certification programs. Her roles include memberships in ISO/TC 204 Intelligent Transport Systems, Malaysia Board of Technologists, Malaysia Association of Research Managers and Administrators, and International Association of Counsellors and Therapists. A Microsoft Certified and HRD Accredited Trainer, she drives research innovation at UMPSA.