DR. HEMA A/P SUBRAMANIAM
Department of Software Engineering
Faculty of Computer Science and Information Technology
hemaum.edu.myView CV | |
View 1-Page CV | |
Publons | |
Scopus Link | |
Biography | |
Hema Subramaniam is a Senior Lecturer in the Department of Software Engineering at the Faculty of Computer Science and Information Technology, Universiti Malaya. She holds a PhD in Software Engineering from Universiti Putra Malaysia (UPM), awarded in 2016, after completing her Master of Computer Science (Software Engineering) in 2010 and her BSc in Information Technology in 2006, both from Universiti Selangor. Her core research interests revolve around software quality metrics, architecture, and real-time systems. She focuses on developing methodologies to improve system maintainability, performance, and scalability. Dr. Hema has actively led and contributed to various research initiatives to assess and optimise software structures through quantitative models. Her work frequently integrates advanced architectural design principles and dynamic analysis to build robust, high-dependability systems, particularly in real-time application domains. Her dedication to translating theoretical frameworks into practical solutions has made a meaningful impact on advancing intelligent and adaptive software engineering practices. |
Publication
Finance
Project Title | Progress | Status |
---|---|---|
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 |
|
on going |
Post-pandemic Anxiety Prediction Model For Malaysia Urban School Students Using Social Media Slang Analytics |
|
end |
UM Eco-Mobility: A Campus Sustainability Tracker |
|
end |
This information is generated from Research Grant Management System |
An adaptive data-driven architecture for mental health care applications
Test case information extraction from requirements specifications using NLP-based unified boilerplate approach
A Three-Step Procedural Paradigm for Domain-Specific Social Media Slang Analytics
Test case information extraction from requirements specifications using NLP-based unified boilerplate approach
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