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DR. HEMA A/P SUBRAMANIAM

Department of Software Engineering

Faculty of Computer Science and Information Technology

hema@um.edu.my
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Biography

Hema Subramaniam Senior lecturer in the Department of Software Engineering, Faculty of Computer Science and Information Technology, Universiti Malaya. She received her PhD in Software Engineering from Universiti Putra Malaysia (UPM) in 2016, a Master of Computer Science (Software Engineering) from Universiti Selangor in 2010, and a BSc in Information Technology from Universiti Selangor in 2006. She has undertaken software maintainability and reusability-related research. She also holds a grant related to mental well-being analytics using social media insights and multi-model analysis. Currently, her research interest further extended to software solutions for learning disabilities (LD). She has published several papers in software engineering conferences and journals. She supervises a group of Master's Students working on software maintainability, software management and mood detection application. 


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Latest Evaluation
Reviewer for "A Reliable and Secure Permissioned Blockchain Assisted Data Transfer Mechanism in Healthcare Based Cyber Physical Systems"
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Year 2023
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Annual Publications by Category
Summary of Budget vs Expenditure per vote for all research grants
Last 5 Projects
Grant Progress Status
FP045-2022
on going
ST010-2021
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This information is generated from Research Grant Management System
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Latest Publication
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2022

Machine Learning Algorithm Accuracy for Code-Switching Analytics in Detecting Mood

2022

The Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S): Measurement Invariant Evidence for Its Nine-Item Version in Taiwan, Indonesia, and Malaysia

2022

Assessing the Virtual Early Intervention for Children with Learning Disabilities

2022

The Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S): Measurement Invariant Evidence for Its Nine-Item Version in Taiwan, Indonesia, and Malaysia

2018

Automation Strategy of Asset Tracking and Monitoring Via Integrated Sensor Tagging

2015

Evaluation of early aspect formation technique for aspect refactoring