Prof. Dr. Naomie Salim
Professor Naomie’s main research goal is to design new algorithms to improve the effectiveness of searching and mining new knowledge from various kinds of datasets, including unstructured, semi-structured and structured databases. The current focus of her research is on chemical databases and text databases to support the process of computer-aided drug design, text summarisation, plagiarism detection, automatic information extraction, sentiment analysis, and recommendation systems. The output of the research has been incorporated into a number of software such as UTMChem Workbench, KimiaSpace, and NADI Natural Products Database System to support drug design and drug optimisation process, UTMCLPD Cross-Language Plagiarism Detection System to summarise documents and check for plagiarism and Oricheck for cross-language idea similarity checking and plagiarism detection.
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