PROF. TS. DR. VIMALA A/P BALAKRISHNAN
Department of Information System
Faculty of Computer Science and Information Technology
vimala.balakrishnanum.edu.my| View CV | |
| View 1-Page CV | |
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| Scopus Link | |
| Biography | |
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Ts Dr. Vimala Balakrishnan is a Professor at the Faculty of Computer Science and Information Technology, Universiti Malaya. She holds a PhD in Ergonomics from Multimedia University and leads interdisciplinary research combining machine learning, deep learning, and data analytics with applications across social media, healthcare, and societal issues such as cyberbullying and misinformation. She has published over 100 peer-reviewed journal articles, holds multiple patents and copyrights, and has been recognized among the top 2% of scientists worldwide by Stanford University (2020–2025). To date, she has secured more than RM 4 million in total research grants as both Principal Investigator and Co-Investigator. Her awards include Malaysia Scopus Excellence Research Award (2024) and Fulbright Research Scholar (2018). She teaches undergraduate and postgraduate students, supervises PhD and Master students, and delivers lectures and keynotes at international universities. |
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Publication
Finance
| Project Title | Progress | Status |
|---|---|---|
| A Holistic Cyber Scam Susceptibility Model Based On Psychological Individual Differences |
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on going |
| Digital Literacy, Misinformation And Scamming: An Asian Perspective |
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end |
| Revolutionizing Tuberculosis Care Among Low-income Patients In Southeast Asia Through A Multi-lingual Asynchronous Video Observed Therapy Integrated Mhealth Application |
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end |
| This information is generated from Research Grant Management System | ||
Machine Learning Technique for Managing Vulnerable People During the Covid-19 and Related Pandemic Through Telemedicine: Systematic Review, Open Challenges, and Research Directions
Think Before You Click: Psychological Factors and the Role of Self-Awareness in Cyber Scam Resilience
A Comparative Study of Acoustic and Textual Features Using GPT Embeddings in Detecting Audio Deepfakes
Emotionally Tough, Sexting Rough: Relationship Between Callous Unemotional Traits and Aggravated Sexting in 11 Countries
Women's emotional health and support in a time of crisis
Collaboration Made Easy with the Collaborators in Action Tool: A Case Study on the Probability and Statistics Course
SentI-Cal: Sentiment Intensity Calculator
Mobile Technology and Interactive Lectures: The Key Adoption Factors,
ICITS 2020 6th International Conference on Information Technology & Society
Socio-demographic Impact on Digital Payment Adoption among Malaysian Users
Sentiment and Emotion Analyses for Malaysian Mobile Digital Payment Applications
SSA-SDA: Subjectivity and Sentiment Analysis of Sudanese Dialect Arabic
