DR. HEMA A/P SUBRAMANIAM
Department of Software Engineering
Faculty of Computer Science and Information Technology
hema@um.edu.myView CV | |
Publons | |
Scopus Link | |
Biography | |
Hema Subramaniam, a Senior Lecturer in the Department of Software Engineering, Faculty of Computer Science and Information Technology at Universiti Malaya. She earned her PhD in Software Engineering from Universiti Putra Malaysia (UPM) in 2016, and prior to that, she obtained a Master of Computer Science (Software Engineering) from Universiti Selangor in 2010, as well as a BSc in Information Technology from the same institution in 2006. Her research has primarily focused on software quality measurement and reusability, and she has actively engaged in investigating mental well-being analytics through social media insights and multi-model analysis, software solutions for learning disabilities (LD) supported by a grant. Throughout her career, Hema has contributed significantly to the field of software engineering, with numerous papers published in conferences and journals. Currently, she is overseeing a group of Master's students who are dedicated to exploring software maintainability, software management, and mood detection applications under her guidance. |
Publication
Finance
Project Title | Progress | Status |
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Title A: An Intelligent Method to Generate Creativity of Software (Proposal Refer Appendix A) Title B: Development of Mental Health Surveillance to Prevent Traffic Accident of Youth |
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new |
UM Eco-Mobility: A Campus Sustainability Tracker |
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on going |
Post-Pandemic Anxiety Prediction Model For Malaysia Urban School Students Using Social Media Slang Analytics |
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on going |
This information is generated from Research Grant Management System |
Test case information extraction from requirements specifications using NLP-based unified boilerplate approach
An adaptive data-driven architecture for mental health care applications
Fault-Prone Software Requirements Specification Detection Using Ensemble Learning for Edge/Cloud Applications
A Systematic Literature Review on Social Media Slang Analytics in Contemporary Discourse
A Three-Step Procedural Paradigm for Extracting Domain-Specific Social Media Slang Data
BertSentiment-SO Model: Extracting Cloud Service Information from Stack Overflow’s Technical Texts
Automation Strategy of Asset Tracking and Monitoring Via Integrated Sensor Tagging
Evaluation of early aspect formation technique for aspect refactoring