ASSOCIATE PROF. DR. KASTURI DEWI A/P VARATHAN
Department of Information System
Faculty of Computer Science and Information Technology
kasturium.edu.myView CV | |
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Biography | |
Kasturi Dewi Varathan, is currently an associate professor at the Faculty of Computer Science & Information Technology, University of Malaya, Malaysia. She holds a Ph.D. in Computer Science from the National University of Malaysia. Her main research focus is in the field of Data Analytics, Text Mining and Information Retrieval. Dr.Kasturi has published in several high-ranked journals and conferences. Her research on data analytics won several awards in international and national level competitions. Research institutions too have gained from her expertise. She has served as visiting scientist to the Information Systems Research Group of the Faculty of Informatics, University of Lugano, Switzerland as well as research fellow at the Institute of Visual Informatics, National University of Malaysia. She has been appointed as Adjunct Professor at Veltech University, India. Dr.Kasturi has also secured national and international grants. Some of the prominent grants that she has received are Applied Research Partnership Grant funded by ETH Zurich(Switzerland), People Exchange Grant funded by Swiss Education, Research and Innovation Grant(Switzerland) and Prototype Research Grant from the Ministry of Higher Education (Malaysia). She is also a recipient of the prestigious Leadership in Innovation Fellowship award by the United Kingdom and Malaysian Government.
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Project Title | Progress | Status |
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Ai-enabled Application For Personalization And Monitoring Of Fitness Among Cardiac Rehabilitation Patients |
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on going |
Learning Analytics For Smart Education |
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end |
Implicit Feature Detection From User Generated Data |
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This information is generated from Research Grant Management System |
Identification of significant features and machine learning technique in predicting helpful reviews
Feature extraction from customer reviews using enhanced rules.
A Comprehensive Review of Cyberbullying-related Content Classification In Online Social Media
A comprehensive review of cyberbullying-related content classification in online social media
Mining Social Media for Crime Detection
Sentiment Analysis for Stock Market Forecasting
The Effect of COVID-19 on the Sentiment and Relationships of University Students
Temporal Analysis of Comparative Opinion Mining
Cyberbullying Detection on Twitter