Hema Subramaniam is 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, following a Master of Computer Science (Software Engineering) from Universiti Selangor in 2010 and a BSc in Information Technology from the same institution in 2006. Her research focuses on software architecture and quality measurement, with an emphasis on reusability and real-time systems. Recently, she has expanded her work into mental health analytics, exploring anxiety prediction via slang analysis on social media platforms. She investigates how system architecture can support real-time processing and sentiment analysis using natural language processing (NLP) models tailored to regional slang, contributing to mood detection systems for early anxiety prediction. Additionally, she has worked on embedded software solutions for learning disabilities (LD) supported by a grant. Hema has published both software engineering and mental health analytics, with ongoing projects in slang-based mood detection, and social media-driven anxiety prediction. Currently, she supervises a group of Master’s students working on system architectures for scalable, real-time mood and anxiety detection applications under her guidance.